DocumentCode :
3264820
Title :
Image content matched directional filters for image coding based on contourlet transform
Author :
Gehrke, Tobias ; Greiner, Thomas ; Rosenstiel, Wolfgang
Author_Institution :
Pforzheim Univ., Pforzheim, Germany
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
237
Lastpage :
240
Abstract :
Due to the separability of its filters, the wavelet transform is suboptimal for transform coding of natural images. The contourlet transform is an approach to overcome this problem by employing directional filters. In contrast to the great number of filters available for the wavelet transform, few filters exist for use with contourlets. We describe a method for the design of directional filters, which can be tailored to specific image contents. The method numerically optimizes the coding gain of directional filters within the lifting framework. Thereto, a link is derived between the coefficients of directional filters and coding gain. An example of an optimized filter is presented and its superiority over a standard filter for contourlet based image coding is shown.
Keywords :
image coding; matched filters; transforms; coding gain optimization; contourlet transform; image coding; image content matched directional filters; image contents; Encoding; Image coding; Image reconstruction; Optimization; Quantization (signal); Standards; Transforms; Contourlets; filter design; image coding; matched filters; wavelets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium (PCS), 2013
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4799-0292-7
Type :
conf
DOI :
10.1109/PCS.2013.6737727
Filename :
6737727
Link To Document :
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