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