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