DocumentCode :
351377
Title :
Image compression using fuzzy subband decomposition
Author :
Agaian, Sos ; Choi, David S. ; Noonan, Joseph
Author_Institution :
Dept. of Electr. Eng., Texas Univ., San Antonio, TX, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
894
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
Keywords :
data compression; filtering theory; fuzzy set theory; image coding; median filters; edge blurring; fuzzy median filters; fuzzy subband coding; image compression; nonlinear subband decomposition; ringing effect; smearing effect; Bit rate; Equations; Filter bank; Fuzzy sets; Fuzzy systems; Image coding; Nonlinear distortion; Nonlinear filters; PSNR; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1098-7584
Print_ISBN :
0-7803-5877-5
Type :
conf
DOI :
10.1109/FUZZY.2000.839150
Filename :
839150
Link To Document :
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