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
Link To Document :
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