19 April 2000 Reconstruction of bilevel images from a low-quality JPEG
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Abstract
Using concepts from projection onto convex sets (POCS), we develop algorithms for reconstructing bilevel images from a low quality JPEG. The constraint that the image is bilevel is not convex, so simple iteration does not suffice, but we develop techniques for enforcing the constraints gradually (soft-thresholding) and for using randomness to improve convergence (random thresholding). Our final algorithm succeeded in finding a bilevel image satisfying our constraints in every tested case.
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Mihai Sipitca, Mihai Sipitca, David W. Gillman, David W. Gillman, Lyman Hurd, Lyman Hurd, "Reconstruction of bilevel images from a low-quality JPEG", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.382981; https://doi.org/10.1117/12.382981
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