Title :
Fuzzy perceptual filtering for still image compression
Author :
Bellini, A. ; Leone, A. ; Rovatti, R.
Author_Institution :
Dipt. di Elettronica, Inf. e Sistemistica, Bologna Univ., Italy
Abstract :
In this paper we describe the application of a fuzzy perceptual classifier to improve still image encoding. A weighted low-pass filtering is applied before standard compression algorithms, which blurs image pixels according to their perceptual relevance. This results in a reduction of the number of bits required to encode an image without reducing perceived quality
Keywords :
data compression; filtering theory; fuzzy set theory; image classification; image coding; low-pass filters; fuzzy perceptual classifier; fuzzy perceptual filtering; image pixels; still image compression; still image encoding; weighted low-pass filtering; Compression algorithms; Digital images; Electronic mail; Entropy; Filtering; Image coding; Low pass filters; Pixel; Propagation losses; Transform coding;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.686365
