DocumentCode :
3426443
Title :
Geometric tools for image compression
Author :
Wakin, Michael ; Romberg, Justin ; Choi, Hyeokho ; Baraniuk, Richard
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Volume :
2
fYear :
2002
fDate :
3-6 Nov. 2002
Firstpage :
1725
Abstract :
Images typically contain strong geometric features, such as edges, that impose a structure on pixel values and wavelet coefficients. Modeling the joint coherent behavior of wavelet coefficients is difficult, and standard image coders fail to fully exploit this geometric regularity. We introduce wedgelets as a geometric tool for image compression. Wedgelets offer piecewise-linear approximations of edge contours and can be efficiently encoded. We describe the fundamental challenges that arise when applying such a tool to image compression. To meet these challenges, we also propose an efficient rate-distortion framework for natural image compression using wedgelets.
Keywords :
data compression; image coding; image representation; piecewise linear techniques; quantisation (signal); rate distortion theory; transform coding; wavelet transforms; 2D wavelet transform; edge contours; edges; geometric features; geometric representation; geometric tool for; geometric tools; image coders; image compression; joint coherent behavior; piecewise-linear approximations; pixel; rate-distortion; space-frequency quantization; wavelet coefficients; wedgelets; Code standards; Dictionaries; Image coding; Instruments; Piecewise linear techniques; Pixel; Rate-distortion; Solid modeling; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7576-9
Type :
conf
DOI :
10.1109/ACSSC.2002.1197070
Filename :
1197070
Link To Document :
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