René's URL Explorer Experiment


Title: Image Processing for Electronic Publications · GitHub

Open Graph Title: Image Processing for Electronic Publications

X Title: Image Processing for Electronic Publications

Description: Image Processing for Electronic Publications. Image Processing for Electronic Publications has 211 repositories available. Follow their code on GitHub.

Open Graph Description: Image Processing for Electronic Publications. Image Processing for Electronic Publications has 211 repositories available. Follow their code on GitHub.

X Description: Image Processing for Electronic Publications. Image Processing for Electronic Publications has 211 repositories available. Follow their code on GitHub.

Opengraph URL: https://github.com/ImageProcessing-ElectronicPublications

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#content
https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#djvu
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c44-freeimagehttps://github.com/ImageProcessing-ElectronicPublications/c44-freeimage
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depresshttps://github.com/ImageProcessing-ElectronicPublications/depress
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didjvuhttps://github.com/ImageProcessing-ElectronicPublications/didjvu
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djvu-bookmarkhttps://github.com/ImageProcessing-ElectronicPublications/djvu-bookmark
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djvufixhttps://github.com/ImageProcessing-ElectronicPublications/djvufix
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djvu-imager-qthttps://github.com/ImageProcessing-ElectronicPublications/djvu-imager-qt
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djvulibrehttps://github.com/ImageProcessing-ElectronicPublications/djvulibre
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djvupurehttps://github.com/ImageProcessing-ElectronicPublications/djvupure
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jb2unifyhttps://github.com/ImageProcessing-ElectronicPublications/jb2unify
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mfbdjvuhttps://github.com/ImageProcessing-ElectronicPublications/mfbdjvu
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minidjvu-modhttps://github.com/ImageProcessing-ElectronicPublications/minidjvu-mod
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pnmtodjvurlehttps://github.com/ImageProcessing-ElectronicPublications/pnmtodjvurle
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simpledjvuhttps://github.com/ImageProcessing-ElectronicPublications/simpledjvu
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gimp-plugin-reduce-color-depthhttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-reduce-color-depth
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gimp-plugin-refocushttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-refocus
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gimp-plugin-resize-rishttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-resize-ris
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gimp-plugin-rishttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-ris
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gimp-plugin-scaler-biakimahttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-scaler-biakima
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gimp-plugin-wavelet-decomposehttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-wavelet-decompose
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gimp-plugin-wavelet-denoisehttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-wavelet-denoise
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gimp-plugin-wavelet-sharpenhttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-wavelet-sharpen
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gimp-schemehttps://github.com/ImageProcessing-ElectronicPublications/gimp-scheme
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adept-jpg-compressorhttps://github.com/ImageProcessing-ElectronicPublications/adept-jpg-compressor
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libmodjpeghttps://github.com/ImageProcessing-ElectronicPublications/libmodjpeg
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libsmallfryhttps://github.com/ImageProcessing-ElectronicPublications/libsmallfry
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mozjpeghttps://github.com/ImageProcessing-ElectronicPublications/mozjpeg
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mss-saliencyhttps://github.com/ImageProcessing-ElectronicPublications/mss-saliency
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rdopthttps://github.com/ImageProcessing-ElectronicPublications/rdopt
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https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#pdf
base85https://github.com/ImageProcessing-ElectronicPublications/base85
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faxcoderhttps://github.com/ImageProcessing-ElectronicPublications/faxcoder
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jbig2enchttps://github.com/ImageProcessing-ElectronicPublications/jbig2enc
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jpeg2pdfhttps://github.com/ImageProcessing-ElectronicPublications/jpeg2pdf
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libflypdfhttps://github.com/ImageProcessing-ElectronicPublications/libflypdf
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mfbpdfhttps://github.com/ImageProcessing-ElectronicPublications/mfbpdf
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pdfsed-toolshttps://github.com/ImageProcessing-ElectronicPublications/pdfsed-tools
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ruby-pdfbeadshttps://github.com/ImageProcessing-ElectronicPublications/ruby-pdfbeads
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acnhscalehttps://github.com/ImageProcessing-ElectronicPublications/acnhscale
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knnimdenoiserhttps://github.com/ImageProcessing-ElectronicPublications/knnimdenoiser
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lodepnghttps://github.com/ImageProcessing-ElectronicPublications/lodepng
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pnglosshttps://github.com/ImageProcessing-ElectronicPublications/pngloss
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pngmcposterizehttps://github.com/ImageProcessing-ElectronicPublications/pngmcposterize
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pngnq-s9https://github.com/ImageProcessing-ElectronicPublications/pngnq-s9
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pngpafhttps://github.com/ImageProcessing-ElectronicPublications/pngpaf
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pngquadtreehttps://github.com/ImageProcessing-ElectronicPublications/pngquadtree
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rdopnghttps://github.com/ImageProcessing-ElectronicPublications/rdopng
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xpnghttps://github.com/ImageProcessing-ElectronicPublications/xpng
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https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#python
hocr-toolshttps://github.com/ImageProcessing-ElectronicPublications/hocr-tools
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python-cropper-tkhttps://github.com/ImageProcessing-ElectronicPublications/python-cropper-tk
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python-fft-descreenhttps://github.com/ImageProcessing-ElectronicPublications/python-fft-descreen
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https://camo.githubusercontent.com/9f4c8c569f877a45ac7a3f7e302e1d3233efae4ab0be5fa1f5a6835345179a4e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f707974686f6e2d6666742d646573637265656e
python-image-region-extractionhttps://github.com/ImageProcessing-ElectronicPublications/python-image-region-extraction
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https://camo.githubusercontent.com/a2b18e73ac60cda34d16b29cfd86c5e0bcca7f9fbe8e751d600b04faedb6ba59/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f707974686f6e2d696d6167652d726567696f6e2d65787472616374696f6e
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python-img2pdfhttps://github.com/ImageProcessing-ElectronicPublications/python-img2pdf
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python-pdfbookmarkerhttps://github.com/ImageProcessing-ElectronicPublications/python-pdfbookmarker
https://camo.githubusercontent.com/5cd940af84101d4ef19f2549497524cb16302aeb99122c4a2fb715af2ed2901e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f707974686f6e2d706466626f6f6b6d61726b6572
python-pdf-jpeg-extracthttps://github.com/ImageProcessing-ElectronicPublications/python-pdf-jpeg-extract
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python-pdf-outlinehttps://github.com/ImageProcessing-ElectronicPublications/python-pdf-outline
https://camo.githubusercontent.com/2149886b659fd9dceb4e93ae621a64ee32b37c7abb99864d2008b935f9cb7d30/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f707974686f6e2d7064662d6f75746c696e65
python-pdfwatermarkhttps://github.com/ImageProcessing-ElectronicPublications/python-pdfwatermark
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https://camo.githubusercontent.com/c031d6b764f7233c197ab83867a892afa41af716e4fbd9750462bbc12c135dc4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f707974686f6e2d70646677617465726d61726b
python-pfbgmrgrhttps://github.com/ImageProcessing-ElectronicPublications/python-pfbgmrgr
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https://camo.githubusercontent.com/4e10d57aea784f80e7952e36a10f1a58e7229e80795187dda10ebcb6ab42c0d2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f707974686f6e2d706662676d726772
python-trimimagetopdfhttps://github.com/ImageProcessing-ElectronicPublications/python-trimimagetopdf
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https://camo.githubusercontent.com/ac8e57bbc0a2e6bbe4defcff582607e1c98cdd466976a783593fc4281eec4cf1/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f707974686f6e2d7472696d696d616765746f706466
https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#gui
acaciahttps://github.com/ImageProcessing-ElectronicPublications/acacia
https://camo.githubusercontent.com/e9f973e18b3097df392a28a6136e03152a9c12627dc8b76746702e6cb61d99a0/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f616361636961
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datapickerhttps://github.com/ImageProcessing-ElectronicPublications/datapicker
https://camo.githubusercontent.com/5660b220edb4f7c9bccc9627e241862652886f314858fb75c4988a47c6c82c79/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f646174617069636b6572
diffimghttps://github.com/ImageProcessing-ElectronicPublications/diffimg
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https://camo.githubusercontent.com/c6e66bdb2084ac4cfb96df9ad05cbaf3616d4372fc7e28d6de6cd47ebf350ae6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f64696666696d67
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https://camo.githubusercontent.com/373cfebc6192d387e08936de23333c14471e11d46f9e46273247eee34d586aff/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f64696666696d67
ImageCrophttps://github.com/ImageProcessing-ElectronicPublications/ImageCrop
https://camo.githubusercontent.com/32d82147ddcc87db1062bd74a03bdd3df51d7b88fdb34b64962c61ea65354e26/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f496d61676543726f70
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perspectorhttps://github.com/ImageProcessing-ElectronicPublications/perspector
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https://camo.githubusercontent.com/8d9a224475c313eb6b04186cfe4360193d4ab152ce6c54465a14d7c87be3d395/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f70657273706563746f72
https://camo.githubusercontent.com/3f32e98551134964dcf3dbf3c1bf207f3744708d56f718bd7a28eda8536c306a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f70657273706563746f722f746f74616c
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photoquickhttps://github.com/ImageProcessing-ElectronicPublications/photoquick
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photoquick-pluginshttps://github.com/ImageProcessing-ElectronicPublications/photoquick-plugins
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qdrawhttps://github.com/ImageProcessing-ElectronicPublications/qdraw
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qtimdenoisinghttps://github.com/ImageProcessing-ElectronicPublications/qtimdenoising
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scantailorhttps://github.com/ImageProcessing-ElectronicPublications/scantailor
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scantailor-advancedhttps://github.com/ImageProcessing-ElectronicPublications/scantailor-advanced
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scantailor-devianthttps://github.com/ImageProcessing-ElectronicPublications/scantailor-deviant
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scantailor-experimentalhttps://github.com/ImageProcessing-ElectronicPublications/scantailor-experimental
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scantailor-universalhttps://github.com/ImageProcessing-ElectronicPublications/scantailor-universal
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SmartDeblurhttps://github.com/ImageProcessing-ElectronicPublications/SmartDeblur
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svgcarvehttps://github.com/ImageProcessing-ElectronicPublications/svgcarve
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tiffanyhttps://github.com/ImageProcessing-ElectronicPublications/tiffany
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xmorphhttps://github.com/ImageProcessing-ElectronicPublications/xmorph
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yaswhttps://github.com/ImageProcessing-ElectronicPublications/yasw
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https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#stb
noteshrink-chttps://github.com/ImageProcessing-ElectronicPublications/noteshrink-c
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stbaithresholdhttps://github.com/ImageProcessing-ElectronicPublications/stbaithreshold
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stb-image-djvulhttps://github.com/ImageProcessing-ElectronicPublications/stb-image-djvul
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stb-image-filtershttps://github.com/ImageProcessing-ElectronicPublications/stb-image-filters
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stb-image-frpf2https://github.com/ImageProcessing-ElectronicPublications/stb-image-frpf2
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stb-image-metricshttps://github.com/ImageProcessing-ElectronicPublications/stb-image-metrics
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stb-image-resizehttps://github.com/ImageProcessing-ElectronicPublications/stb-image-resize
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stb-image-srcnnhttps://github.com/ImageProcessing-ElectronicPublications/stb-image-srcnn
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stbibalancehttps://github.com/ImageProcessing-ElectronicPublications/stbibalance
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stbibayerhttps://github.com/ImageProcessing-ElectronicPublications/stbibayer
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stbicomixhttps://github.com/ImageProcessing-ElectronicPublications/stbicomix
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stbidespecklehttps://github.com/ImageProcessing-ElectronicPublications/stbidespeckle
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stbiscalenxhttps://github.com/ImageProcessing-ElectronicPublications/stbiscalenx
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stbisqzhttps://github.com/ImageProcessing-ElectronicPublications/stbisqz
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stbithresedgedivhttps://github.com/ImageProcessing-ElectronicPublications/stbithresedgediv
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stbithresgradhttps://github.com/ImageProcessing-ElectronicPublications/stbithresgrad
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stbiwarp7phttps://github.com/ImageProcessing-ElectronicPublications/stbiwarp7p
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stbiFastGaussianBlurhttps://github.com/ImageProcessing-ElectronicPublications/stbiFastGaussianBlur
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https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#opencv
aithresholdhttps://github.com/ImageProcessing-ElectronicPublications/aithreshold
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libprecoghttps://github.com/ImageProcessing-ElectronicPublications/libprecog
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opencv-pixartscalehttps://github.com/ImageProcessing-ElectronicPublications/opencv-pixartscale
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opencv_superreshttps://github.com/ImageProcessing-ElectronicPublications/opencv_superres
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pagedewarphttps://github.com/ImageProcessing-ElectronicPublications/pagedewarp
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page_dewarphttps://github.com/ImageProcessing-ElectronicPublications/page_dewarp
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page-dewarphttps://github.com/ImageProcessing-ElectronicPublications/page-dewarp
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patchmatch_inpaintinghttps://github.com/ImageProcessing-ElectronicPublications/patchmatch_inpainting
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piedhttps://github.com/ImageProcessing-ElectronicPublications/pied
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advancecomphttps://github.com/ImageProcessing-ElectronicPublications/advancecomp
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ditherhttps://github.com/ImageProcessing-ElectronicPublications/dither
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Doxahttps://github.com/ImageProcessing-ElectronicPublications/Doxa
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fb2-perl-toolshttps://github.com/ImageProcessing-ElectronicPublications/fb2-perl-tools
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imageworsenerhttps://github.com/ImageProcessing-ElectronicPublications/imageworsener
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imgavirhttps://github.com/ImageProcessing-ElectronicPublications/imgavir
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imgminhttps://github.com/ImageProcessing-ElectronicPublications/imgmin
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imgmorphhttps://github.com/ImageProcessing-ElectronicPublications/imgmorph
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imgtxtenhhttps://github.com/ImageProcessing-ElectronicPublications/imgtxtenh
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imthresholdhttps://github.com/ImageProcessing-ElectronicPublications/imthreshold
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inpaint-cimghttps://github.com/ImageProcessing-ElectronicPublications/inpaint-cimg
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kmeanshttps://github.com/ImageProcessing-ElectronicPublications/kmeans
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leptboxhttps://github.com/ImageProcessing-ElectronicPublications/leptbox
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libditherhttps://github.com/ImageProcessing-ElectronicPublications/libdither
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libmorphhttps://github.com/ImageProcessing-ElectronicPublications/libmorph
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liboilhttps://github.com/ImageProcessing-ElectronicPublications/liboil
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mimetexhttps://github.com/ImageProcessing-ElectronicPublications/mimetex
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netpbmhttps://github.com/ImageProcessing-ElectronicPublications/netpbm
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palettehttps://github.com/ImageProcessing-ElectronicPublications/palette
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pnmunpaperhttps://github.com/ImageProcessing-ElectronicPublications/pnmunpaper
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ppmdescreenhttps://github.com/ImageProcessing-ElectronicPublications/ppmdescreen
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ppmrosehttps://github.com/ImageProcessing-ElectronicPublications/ppmrose
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https://camo.githubusercontent.com/f1df99142ba71726e50033288d9107f772b8bd5a22c998130609079e9120d2e6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f70706d726f7365
tesseracthttps://github.com/ImageProcessing-ElectronicPublications/tesseract
https://camo.githubusercontent.com/06d1c3fbdfdf62c675f1ba3277b189286c584acfad2d36560a646227bc31b576/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f746573736572616374
https://camo.githubusercontent.com/66c25acbdada85a9195f452cc0e89a4a46bca2069f1642f240efd7e46659811f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f746573736572616374
tiffscanhttps://github.com/ImageProcessing-ElectronicPublications/tiffscan
https://camo.githubusercontent.com/40f1a3692a33806e169326f9d75051cdd8883d4a6cc9612ab0e1075abcb54dd1/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f746966667363616e
https://camo.githubusercontent.com/c11aa4e926ec4e091a3d30b9faa814bdd875e6f6bab1089592ece15ce4a398c2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652d646174652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f746966667363616e
https://camo.githubusercontent.com/e43dfbe2b6f8228fb509682eac72b44097426426a0761bfd3baef080a6e6e9ec/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f746966667363616e
https://camo.githubusercontent.com/9fb547aed2167d3a9b3abce1fc3014418f10076062d017a5fa4e04880ee4b418/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f746966667363616e2f746f74616c
https://camo.githubusercontent.com/d079fc83b4c484d562ff286580493620a97baebe0ffb928986e82d747e7093a6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f746966667363616e
tilequanthttps://github.com/ImageProcessing-ElectronicPublications/tilequant
https://camo.githubusercontent.com/8e44b5262c14eac0a8cfd01b61919b23fe8c9f5b074375dbcf8db203886c42e6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f74696c657175616e74
https://camo.githubusercontent.com/caa79af5f81e8edc079c83cd15cc74336fddf885469ebc18c0b267b3173f2d8e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652d646174652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f74696c657175616e74
https://camo.githubusercontent.com/7ed31d71e5b5dbb7513802f2f4230fae3b87b01414a8d15f3c68c125f7a92bf2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f74696c657175616e74
https://camo.githubusercontent.com/7bddb4e60367c7b236f56603b92a71b1022434bc8243d872faedafdc98b10610/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f74696c657175616e742f746f74616c
https://camo.githubusercontent.com/b313dab6fe4a492ee7739f6248dbb49f7bb2872ab55dbac7dc45a6f0a8daad02/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f74696c657175616e74
warp7phttps://github.com/ImageProcessing-ElectronicPublications/warp7p
https://camo.githubusercontent.com/190a492c754012f770bdca905ac2d4a0ae82772ac81dfdb57755c87dcae9675d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f776172703770
https://camo.githubusercontent.com/24cc6086bd0eead16c0471b2be360fa5a1d95ad13a0d5c4494eee79b2c86d49e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652d646174652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f776172703770
https://camo.githubusercontent.com/bb6537c5f1a5fd8dd6f21f1036c925c0cdc9a451b32d79fd715a252b97497e18/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f776172703770
https://camo.githubusercontent.com/7b90a8d49bd02015149baa76e8ae37248186d3030b18ad305295b0fd7ab3b38e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7761727037702f746f74616c
https://patch-diff.githubusercontent.com/ImageProcessing-ElectronicPublications#samples
adept-jpg-compressor-sampleshttps://github.com/ImageProcessing-ElectronicPublications/adept-jpg-compressor-samples
https://camo.githubusercontent.com/e2aa8e2a51ccc2a5353e1c3888be94d8fb78af7bdfead6beb8c313f59a1478db/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f61646570742d6a70672d636f6d70726573736f722d73616d706c6573
advancecomp-testhttps://github.com/ImageProcessing-ElectronicPublications/advancecomp-test
https://camo.githubusercontent.com/c76a829982398ea687ea8cceae88a743f8ee15d3007e771f44b4ddeeba1167e2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f616476616e6365636f6d702d74657374
https://camo.githubusercontent.com/c40ad18a534ae83a3b86ac5a71e84107488475939265e607749ee87a728bb11a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f616476616e6365636f6d702d74657374
bitcrasher-sampleshttps://github.com/ImageProcessing-ElectronicPublications/bitcrasher-samples
https://camo.githubusercontent.com/3b3eee69f4d8edd9aa1775dc6539c1aacde7f8d0472d650197345bcacca9ad88/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f626974637261736865722d73616d706c6573
https://camo.githubusercontent.com/c4500807a2dc27dcc141e892b694d79ba9675b75012082e09420279e4c95b859/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f626974637261736865722d73616d706c6573
depress-demohttps://github.com/ImageProcessing-ElectronicPublications/depress-demo
https://camo.githubusercontent.com/eea9550aa834f54b00efc6bbab4ddad7f53c1a44b628aa136d01dc70f723665d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f646570726573732d64656d6f
https://camo.githubusercontent.com/f4d1456f0c8d67af0413643bed741cef9bd19d5642e6093f78e4e6bed02874e3/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f646570726573732d64656d6f
diffimg-images-testhttps://github.com/ImageProcessing-ElectronicPublications/diffimg-images-test
https://camo.githubusercontent.com/132b924b6fe53b93e93b1236fa0659ca9f0d1aae3cfc4e3c7fa43b7d3be96414/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f64696666696d672d696d616765732d74657374
https://camo.githubusercontent.com/e6ae9d00fc7446711640f8c863241fc8c650bcdacce2c798c7d18f5b0eb456d3/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f64696666696d672d696d616765732d74657374
gimp-plugin-scaler-biakima-demohttps://github.com/ImageProcessing-ElectronicPublications/gimp-plugin-scaler-biakima-demo
https://camo.githubusercontent.com/2f7e23f4dac91bbeb50b3c730bc48561488fa93bc2a51daf4bd2f5ae94409828/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f67696d702d706c7567696e2d7363616c65722d6269616b696d612d64656d6f
https://camo.githubusercontent.com/6386f29ab9686e122a508ef95280a1682bd90a95b15c78bb99539f1a930a985c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f67696d702d706c7567696e2d7363616c65722d6269616b696d612d64656d6f
imgmin-sampleshttps://github.com/ImageProcessing-ElectronicPublications/imgmin-samples
https://camo.githubusercontent.com/9b654bdfee383707cf86bc3107d38ba584b04e83e6336de6f97757e42565fc8a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696d676d696e2d73616d706c6573
https://camo.githubusercontent.com/f2ad63c0e4362847fb240cf3dde9f0d1b27e17aa3420a3da8a300035eba4de16/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696d676d696e2d73616d706c6573
imthreshold-demohttps://github.com/ImageProcessing-ElectronicPublications/imthreshold-demo
https://camo.githubusercontent.com/a2bb9b46647a0dacff00acdf789063fcc48e74876bbbcb665a1de41d34ec14f4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696d7468726573686f6c642d64656d6f
https://camo.githubusercontent.com/d28977773df92231053b84ba67e8b953299e1d9861966e823aeb88315a534eaf/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652d646174652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696d7468726573686f6c642d64656d6f
https://camo.githubusercontent.com/a84cc677b89f6247f605e87e72e5e1f8a2c77993c935fd289d675f0109645a31/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696d7468726573686f6c642d64656d6f
https://camo.githubusercontent.com/babddf2ee2ba872bfafb80685534078918b487d257a22ccae62d6316a7e46de7/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696d7468726573686f6c642d64656d6f2f746f74616c
inpaint-cimg-dochttps://github.com/ImageProcessing-ElectronicPublications/inpaint-cimg-doc
https://camo.githubusercontent.com/1b7bdb12ef3de1d8280e9bbfa6a9a9f49de4005ca0a3a0f5fb5eb33832b0fe07/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696e7061696e742d63696d672d646f63
https://camo.githubusercontent.com/1e31add55050b167d167cac72668b2a44e20ef4bb83745a61b509d37196f6cf4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f696e7061696e742d63696d672d646f63
jbig2enc-minidjvuhttps://github.com/ImageProcessing-ElectronicPublications/jbig2enc-minidjvu
https://camo.githubusercontent.com/c6cb79a959f09fe33fb27ab8bdf39cd449b719358e2d84b15a336561c805511a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a62696732656e632d6d696e69646a7675
https://camo.githubusercontent.com/c77df6b427ee089a1089cdb7ca747b96b3c2c83f551ea0b4973e3f6af9be9b2b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a62696732656e632d6d696e69646a7675
jpeg-decomp-dochttps://github.com/ImageProcessing-ElectronicPublications/jpeg-decomp-doc
https://camo.githubusercontent.com/f07a59048ebafa12d5e1840a6376bf0ac962f516201c03ace72d392ce660babd/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a7065672d6465636f6d702d646f63
https://camo.githubusercontent.com/dcecb83212234bd3eba18cef0967fe5118b73d1be007a41f55f0b99f8a23d61c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a7065672d6465636f6d702d646f63
jpeg2png-demohttps://github.com/ImageProcessing-ElectronicPublications/jpeg2png-demo
https://camo.githubusercontent.com/54f1c929aebf7720dd33fddc77852092fe98f6d2241e88c7b4aea5a2acb4cd2e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a70656732706e672d64656d6f
https://camo.githubusercontent.com/903c48aea9e8a9a3ecc615c8238e18bf3c68f8c78d7c413825b8417a436a4b0e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a70656732706e672d64656d6f
jpegquant-sampleshttps://github.com/ImageProcessing-ElectronicPublications/jpegquant-samples
https://camo.githubusercontent.com/86d28cb608eef145aa9a41ba07f4f040df0380517a60628306776caa68a85a77/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a7065677175616e742d73616d706c6573
https://camo.githubusercontent.com/a85ced4496c0e3f847aca9e753113f39310ddae2c4ca9fbd958f2d37bab12404/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6a7065677175616e742d73616d706c6573
knnimdenoiser-demohttps://github.com/ImageProcessing-ElectronicPublications/knnimdenoiser-demo
https://camo.githubusercontent.com/e7753fe62a232ba9e38e595267d63bf5a753dcd3685acef8e039a645390b8de1/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6b6e6e696d64656e6f697365722d64656d6f
https://camo.githubusercontent.com/b2a0d36a1458326cd8d7f5151f4fafd37cc54e441e13c7e7a71cfb1448dff997/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6b6e6e696d64656e6f697365722d64656d6f
libiqa-testimageshttps://github.com/ImageProcessing-ElectronicPublications/libiqa-testimages
https://camo.githubusercontent.com/447699b3b3712c619b356ede202e7094ecf963990438b60cb0aad84801e34d9a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c69626971612d74657374696d61676573
https://camo.githubusercontent.com/218434af4cc4d21d816a1a125a2c33c5e752281fd3fb98b0faf354bcdf76b753/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c69626971612d74657374696d61676573
libmodjpeg-sampleshttps://github.com/ImageProcessing-ElectronicPublications/libmodjpeg-samples
https://camo.githubusercontent.com/7fcb21185312c4e7ccdd9e28a6210c320c594fe1ac5c055577080605c816e8de/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c69626d6f646a7065672d73616d706c6573
https://camo.githubusercontent.com/73aedf35fad27fb89ade5007c771125b9599f51a34a77cc3ec342b3bc8caff37/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c69626d6f646a7065672d73616d706c6573
liboil-demohttps://github.com/ImageProcessing-ElectronicPublications/liboil-demo
https://camo.githubusercontent.com/9c4c434608e8b94a0b231849e388770e52bf9a5c60b950bd23d6166d192d1d76/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c69626f696c2d64656d6f
https://camo.githubusercontent.com/8d6a979e131f423cda678e58fb2787048d45cc42575f19cb9574708d3df2cc34/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c69626f696c2d64656d6f
libprecog-datahttps://github.com/ImageProcessing-ElectronicPublications/libprecog-data
https://camo.githubusercontent.com/ef2fc53fc55e00c1a53041f533a7f93e09561207c0e44351d2b8b3a9e3ee77cc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c6962707265636f672d64617461
https://camo.githubusercontent.com/c8cc6fdf4abd8ea53bc74ed41059a227ac8628b979cc1dc754c9b4b568c1ce00/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c6962707265636f672d64617461
libprecog-manualshttps://github.com/ImageProcessing-ElectronicPublications/libprecog-manuals
https://camo.githubusercontent.com/859b8eafced435798beef5c51eb6b4a02623253500e1f6def6465ae7a996569d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c6962707265636f672d6d616e75616c73
https://camo.githubusercontent.com/cda3fa9f16ef48b339da998e35f3d018525320fa3b33fe94d266b9250a5e8900/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6c6962707265636f672d6d616e75616c73
mfbdjvu-demohttps://github.com/ImageProcessing-ElectronicPublications/mfbdjvu-demo
https://camo.githubusercontent.com/a43e62c20820d98615208c532331bd5dcb300af32e6bfc9793390cb25e264976/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6d6662646a76752d64656d6f
https://camo.githubusercontent.com/26336edc1bd1636996747c19cca9251342b94066ee9565825653a88989ba55b8/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6d6662646a76752d64656d6f
mfbpdf-demohttps://github.com/ImageProcessing-ElectronicPublications/mfbpdf-demo
https://camo.githubusercontent.com/ad28c83adab3265d70ddc56744b8d6bb3f05c17a55599f143af4c9fbbd6abc7e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6d66627064662d64656d6f
https://camo.githubusercontent.com/5fc162eb05bd9665e491883e92925a9420808a0c06936e99af766e747d719fc9/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6d66627064662d64656d6f
mss-saliency-demohttps://github.com/ImageProcessing-ElectronicPublications/mss-saliency-demo
https://camo.githubusercontent.com/ab3bf20f0349d7bb9c26b705990778848595f38dcb5553a8714efdd7eb8bf642/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6d73732d73616c69656e63792d64656d6f
https://camo.githubusercontent.com/4a270d81c33f7e4f1f38345f7c2c1e5c14aee111aab5f4ffe6f3e49422443263/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6d73732d73616c69656e63792d64656d6f
noteshrink-demohttps://github.com/ImageProcessing-ElectronicPublications/noteshrink-demo
https://camo.githubusercontent.com/f307c9789bfa76c000033d5444b40149fa556d29590e22d9c77624222d5a4997/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6e6f7465736872696e6b2d64656d6f
https://camo.githubusercontent.com/3610cf25ed1d378ddd678cb60cba9ee2d5871a7069c52e386c1c97b1500afac1/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f6e6f7465736872696e6b2d64656d6f
pagedewarp-sampleshttps://github.com/ImageProcessing-ElectronicPublications/pagedewarp-samples
https://camo.githubusercontent.com/2c587cd39adb81f8bf5bd26f1d4348163ed60173476d56d3f6f0094053392919/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706167656465776172702d73616d706c6573
https://camo.githubusercontent.com/dafda51c0730ea6c43fdf8f4abb8271e20dc5cbf0275182ca6803812a302001c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706167656465776172702d73616d706c6573
patchmatch_inpainting-sampleshttps://github.com/ImageProcessing-ElectronicPublications/patchmatch_inpainting-samples
https://camo.githubusercontent.com/0affcd506b79801be2d9db0db44cbe245d641b24c3f015343583731a15f5507d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f70617463686d617463685f696e7061696e74696e672d73616d706c6573
https://camo.githubusercontent.com/c53a2546b52bc7b01a77216555c2f1cdeeec81581f57d410ecba8a6d84eee2d8/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f70617463686d617463685f696e7061696e74696e672d73616d706c6573
photoquick-exampleshttps://github.com/ImageProcessing-ElectronicPublications/photoquick-examples
https://camo.githubusercontent.com/32024f2289ea8f4ad39d90dff652fbf2febd70a75f9fb4e6c5880c87a63a5cab/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f70686f746f717569636b2d6578616d706c6573
https://camo.githubusercontent.com/f01ea589f4ed037024e781836d4648debbaf43212abc6067557d935c5c0eb9f3/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f70686f746f717569636b2d6578616d706c6573
pngloss-sampleshttps://github.com/ImageProcessing-ElectronicPublications/pngloss-samples
https://camo.githubusercontent.com/74036f576325f7318d9d52882e40df2cc36eb50d08190ff796efb7e8829d0e32/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e676c6f73732d73616d706c6573
https://camo.githubusercontent.com/21023496921ea2868c7f1123c7016f414f86b288fd5775399b34060262b37486/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e676c6f73732d73616d706c6573
pngpaf-sampleshttps://github.com/ImageProcessing-ElectronicPublications/pngpaf-samples
https://camo.githubusercontent.com/238c88c7a4ed4a99fe890e63305782d6f39af8811fb9c6033b20b4988005ca52/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e677061662d73616d706c6573
https://camo.githubusercontent.com/4df52125ca1a0cc7b5856ae014134c4b0fd67f3256a37aae9e6a1b57d6e470c9/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e677061662d73616d706c6573
pngquadtree-demohttps://github.com/ImageProcessing-ElectronicPublications/pngquadtree-demo
https://camo.githubusercontent.com/35eba15302ed76e13bd8d0f78dddc0a1ccb21c62a228e09a735837ecd9e2c3fd/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e6771756164747265652d64656d6f
https://camo.githubusercontent.com/249bb4072ce6abf6e6fe9db5b30e712059164385ab8c3690f7fd79ffbe71ea10/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f72656c656173652d646174652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e6771756164747265652d64656d6f
https://camo.githubusercontent.com/e0cdc6b9200f26cb25df9af3dd176220e6feb69038c8552f1e08d5bc75e34351/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e6771756164747265652d64656d6f
https://camo.githubusercontent.com/5c1a2be64fb0c824211dd44ff8e536801c094f475c88c2b8306fe3fed84492a4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e6771756164747265652d64656d6f2f746f74616c
https://camo.githubusercontent.com/7ab699f0ad71698b4f3dd857da24b6212b1b16428c32a1e4530f4521b8f2cd2b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e6771756164747265652d64656d6f
pnm-images-testhttps://github.com/ImageProcessing-ElectronicPublications/pnm-images-test
https://camo.githubusercontent.com/8619907b066284d74a7c974c79262dc93961aeb97ed0c116bdf105690869b0a0/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e6d2d696d616765732d74657374
https://camo.githubusercontent.com/6ab6fbaab0aec1f352e68bcb0a98260c15efd485be8bff625d4c0b038494197a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f706e6d2d696d616765732d74657374
rdopng-exampleshttps://github.com/ImageProcessing-ElectronicPublications/rdopng-examples
https://camo.githubusercontent.com/1397da2fc0240b527df8b827d762c87399b2633b21605085f7c925d419f95d3f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f72646f706e672d6578616d706c6573
https://camo.githubusercontent.com/59420d042dd8787fbd28db8c8326c10284ea0940402e7953cf5e720a573d9df5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f72646f706e672d6578616d706c6573
scantailor-testinghttps://github.com/ImageProcessing-ElectronicPublications/scantailor-testing
https://camo.githubusercontent.com/cfbc14bf8ebf0b82437d13a1cb28d9229c20953222da1db97fe0b53fb0309cb0/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7363616e7461696c6f722d74657374696e67
https://camo.githubusercontent.com/50f4f8edea89cd2a3a1b6f789b2d9ed3f283acc9c16d2ac672af45e7259873f6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7363616e7461696c6f722d74657374696e67
stb-image-djvul-demohttps://github.com/ImageProcessing-ElectronicPublications/stb-image-djvul-demo
https://camo.githubusercontent.com/61a0cde1d76bf6d63877e7dc70c2f0ac706e48d641e33b047a47834c488f1c98/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d646a76756c2d64656d6f
stb-image-filters-demohttps://github.com/ImageProcessing-ElectronicPublications/stb-image-filters-demo
https://camo.githubusercontent.com/66a7afcd50b5ca1d65cbe2955a5aba75c9cb9180fed28caa6e3d9126ec4f9147/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d66696c746572732d64656d6f
https://camo.githubusercontent.com/c16a0099fc7bbd2183b801f8152741e1a82f1bd5e210db673d1d7dfd48bcf409/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d66696c746572732d64656d6f
stb-image-frpf2-demohttps://github.com/ImageProcessing-ElectronicPublications/stb-image-frpf2-demo
https://camo.githubusercontent.com/56fed0c5294afeb5481d64b4d1c7edebbf03a49d62e6d8ea2c1b2530a84c4ef4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d66727066322d64656d6f
https://camo.githubusercontent.com/e89a731840de2ddfbf80c63ff44b96cafa9c23a426e6e72150aee977dcd529de/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d66727066322d64656d6f
stb-image-metrics-demohttps://github.com/ImageProcessing-ElectronicPublications/stb-image-metrics-demo
https://camo.githubusercontent.com/187a5a725c3d20766b3b8b129725b6b3297354ede204ef803c3969518c19e80f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d6d6574726963732d64656d6f
https://camo.githubusercontent.com/0c1ece78db7718ee89fb7349a3a8f7fcb7723162ef704fcd23c5b8934a073fa2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d6d6574726963732d64656d6f
stb-image-resize-demohttps://github.com/ImageProcessing-ElectronicPublications/stb-image-resize-demo
https://camo.githubusercontent.com/7a433752c3cb013270a5e7586888d0e7dc8aa63511ecd60a5a7476e611468369/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f7265706f2d73697a652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d726573697a652d64656d6f
https://camo.githubusercontent.com/28ee038354334759a92d84aeffc1fb87335e440c9ef2961989e7b6277cd31af7/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f496d61676550726f63657373696e672d456c656374726f6e69635075626c69636174696f6e732f7374622d696d6167652d726573697a652d64656d6f
stbibalance-exampleshttps://github.com/ImageProcessing-ElectronicPublications/stbibalance-examples
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