DocumentCode
148400
Title
Design of optimized contourlet filters for improved coding gain
Author
Gehrke, Tobias ; Greiner, Thomas
Author_Institution
Pforzheim Univ., Pforzheim, Germany
fYear
2014
fDate
1-5 Sept. 2014
Firstpage
546
Lastpage
550
Abstract
The separable wavelet transform has limited directional sensitivity and is suboptimal for compression of textured images. A finer directional resolution and better coding results can be achieved by contourlet transform. So far, directional filters based on design criteria that are unspecific to image compression were used for contourlet transform. We propose directional filters that are optimized specifically for image coding. Thereto, a filter design method that is based on maximization of coding gain was developed. Directional filters were designed for all images of two standard test image databases and compared experimentally to standard filters. In most cases the newly designed filters performed better than standard filters.
Keywords
data compression; filtering theory; image coding; image resolution; image texture; wavelet transforms; contourlet transform; design criteria; directional filters; directional resolution; filter design method; improved image coding gain; limited directional sensitivity; optimized contourlet filter design; separable wavelet transform; standard test image databases; textured image compression; Image coding; Image reconstruction; Optimization; PSNR; Standards; Wavelet transforms; Contourlets; filter design; image coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location
Lisbon
Type
conf
Filename
6952148
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