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Proceedings Paper

Reconstruction of bilevel images from a low-quality JPEG
Author(s): Mihai Sipitca; David W. Gillman; Lyman Hurd
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Paper 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.

Paper Details

Date Published: 19 April 2000
PDF: 10 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.382981
Show Author Affiliations
Mihai Sipitca, Georgia Institute of Technology (United States)
David W. Gillman, Iterated Systems, Inc. (United States)
Lyman Hurd, Iterated Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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