Paper Info
Title
Design of optimized contourlet filters for improved coding gain
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.
Year
DOI
Venue
2014
10.5281/zenodo.44175
Signal Processing Conference
Keywords
Field
DocType
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,Contourlets,filter design,image coding
Computer vision,Coding gain,Pattern recognition,Artificial intelligence,Contourlet,Mathematics
Conference
ISSN
Citations 
PageRank 
2076-1465
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Tobias Gehrke100.68
Thomas Greiner2347.48