Denoising of JPEG images using fuzzy wavelets

Peter D. Dolan; Sos S. Agaian; Joseph P. Noonan

doi:10.1117/12.424973

8 May 2001 Denoising of JPEG images using fuzzy wavelets

Peter D. Dolan, Sos S. Agaian, Joseph P. Noonan

Proceedings Volume 4304, Nonlinear Image Processing and Pattern Analysis XII; (2001) https://doi.org/10.1117/12.424973
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Peter D. Dolan, Sos S. Agaian, and Joseph P. Noonan "Denoising of JPEG images using fuzzy wavelets", Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); https://doi.org/10.1117/12.424973

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