Paper Info
Title
The wavelet based contourlet transform and its application to feature preserving image coding
Abstract
The Contourlet Transform (CT) can capture the intrinsic geometrical structure of an image. The CT is a redundant transform, and for coding applications this can be a disadvantage. In order to avoid the contourlet redundancy we change the pyramidal stage by a multiscale stage. The new non redundant transform is called: The Wavelet Based Contourlet Transform. We take the advantages offered by the new transform to build a novel feature preserving image coder. The preservation is made both: by a stage of feature definition and extraction and by a proposed modified version of the SPIHT coder. SPIHT modification allows selecting a transform coefficient not only by magnitude, but as pertaining to a feature of interest map. We present tests in order to demonstrate the good performance of the coder. Finally, we compare the results with other existing methods. The coder designed performs well even at very low bit rates.
Year
DOI
Venue
2007
10.1007/978-3-540-76631-5_56
MICAI
Keywords
Field
DocType
contourlet transform,spiht modification,spiht coder,contourlet redundancy,coding application,image coding,image coder,feature definition,multiscale stage,new non,pyramidal stage
Top-hat transform,Computer vision,Harmonic wavelet transform,Pattern recognition,Computer science,Continuous wavelet transform,Artificial intelligence,Discrete wavelet transform,S transform,Stationary wavelet transform,Contourlet,Wavelet
Conference
Volume
ISSN
ISBN
4827
0302-9743
3-540-76630-8
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Osslan Osiris Vergara Villegas1156.40
Vianey Guadalupe Cruz Sánchez2277.24