NDLI: A New Texture Preserving Lossy Image Coder: A Comparison Using the Discrete Wavelet Transform and the Wavelet Based Contourlet Transform

Content Provider	IEEE Xplore Digital Library
Author	Osiris Vergara Villegas, O. Pinto Elias, R. Guadalupe Cruz Sanchez, V.
Copyright Year	2007
Description	Author affiliation: Univ. Autonoma de Ciudad Juarez (UACJ), Juarez (Osiris Vergara Villegas, O.)
Abstract	Image coding is one of the most important technologies for what it is call multimedia revolution. The image coding implies a good representation of the images using the least quantity of bits. In order to ensure a good representation, the coder needs to capture significant information of an object of interest in a small description. To solve this problem, in this paper, we present a new lossy image coder which can preserve one of the most important cues of images: the textures. In order to show the ability of texture preserving lossy coder we present tests using typical images, and a comparison between wavelets and the new wavelet based contourlet transform is made. Finally, we present the results obtained using texture image statistics. Our experiments demonstrate that the decompressed images can be used efficiently in future texture processing or classifications tasks.
Starting Page	277
Ending Page	282
File Size	951931
Page Count	6
File Format	PDF
ISBN	9780769529745
DOI	10.1109/CERMA.2007.4367699
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-25
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Wavelet domain Low pass filters Bit rate Energy resolution Discrete wavelet transforms Compaction Image storage Signal resolution Testing
Content Type	Text
Resource Type	Article

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