Paper
19 April 2000 Reconstruction of bilevel images from a low-quality JPEG
Mihai Sipitca, David W. Gillman, Lyman Hurd
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mihai Sipitca, David W. Gillman, and Lyman Hurd "Reconstruction of bilevel images from a low-quality JPEG", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.382981
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KEYWORDS
Image compression

Reconstruction algorithms

Image quality

Wavelets

Quantization

Algorithm development

Image processing

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