Paper Info
Title
Wavelet Filter Adjusting For Image Lossless Compression Using Pattern Recognition
Abstract
A method for image lossless compression using lifting scheme wavelet transform is presented. The proposed method adjusts wavelet filter coefficients analyzing signal spectral characteristics to obtain a higher compression ratio in comparison to the standard CDF(2,2) and CDF(4,4) filters. The proposal is based on spectral pattern recognition with 1-NN classifier. Spectral patterns of a small fixed length are formed for the entire image permitting thus the global optimization of the filter coefficients, equal for all decompositions. The proposed method was applied to a set of test images obtaining better results in entropy values in comparison to the standard wavelet lifting filters.
Year
DOI
Venue
2014
10.1007/978-3-319-07491-7_23
PATTERN RECOGNITION, MCPR 2014
Keywords
Field
DocType
image compression, lifting scheme, wavelets, pattern recognition
Pattern recognition,Lifting scheme,Computer science,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Stationary wavelet transform,Data compression,Wavelet packet decomposition,Wavelet,Wavelet transform
Conference
Volume
ISSN
Citations 
8495
0302-9743
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Oleksiy B. Pogrebnyak14311.33
Ignacio Hernández-Bautista2122.12
Oscar Camacho Nieto36514.93
Pablo Ramírez414.74