Paper
3 March 2000 Fuzzy subband decomposition for low-bit-rate image compression
Sos S. Agaian, David S. Choi, Joseph P. Noonan
Author Affiliations +
Proceedings Volume 3961, Nonlinear Image Processing XI; (2000) https://doi.org/10.1117/12.379386
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
At low bit rates, the linear subband coders are susceptible to the ringing effect, which causes rippling and blurring around the edges in the images. On the other hand, the nonlinear coders are affected by the smearing effect wherein the detail regions are removed. In this paper, we introduce fuzzy subband coding system. This system uses fuzzy median filters in the analysis and synthesis stage of the coder. The motivation for this study is to determine if this novel system can reduce both ringing and smearing effect. Experimental results show that this new subband coder does out-perform linear and median filter subband coders, both in PSNR and visually.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sos S. Agaian, David S. Choi, and Joseph P. Noonan "Fuzzy subband decomposition for low-bit-rate image compression", Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); https://doi.org/10.1117/12.379386
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KEYWORDS
Digital filtering

Nonlinear filtering

Fuzzy logic

Image compression

Image filtering

Signal to noise ratio

Electronic filtering

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