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Proceedings Paper

Denoising of JPEG images using fuzzy wavelets
Author(s): Peter D. Dolan; Sos S. Agaian; Joseph P. Noonan
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Paper Abstract

This paper describes a new technique for removing blocking artifacts in heavily compressed JPEG images. This technique employs fuzzy wavelets, a form of nonlinear subband decomposition, to produce an estimate of the input JPEG image at a finer spatial resolution. The interpolated image is then subsampled to obtain an output image at the original image spatial resolution with smoothed boundaries between adjacent 8 x 8 pixel JPEG blocks.

Paper Details

Date Published: 8 May 2001
PDF: 9 pages
Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424973
Show Author Affiliations
Peter D. Dolan, MIT Lincoln Lab. and Tufts Univ. (United States)
Sos S. Agaian, Univ. of Texas at San Antonio (United States)
Joseph P. Noonan, Tufts Univ. (United States)

Published in SPIE Proceedings Vol. 4304:
Nonlinear Image Processing and Pattern Analysis XII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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