Geometric Tools for Image Compression

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Title: Geometric Tools for Image Compression
Author: Wakin, Michael; Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G.
Type: Conference Paper
Keywords: image compression; geometric tool; wedgelet; rate-distortion; W-SFQ
Citation: M. Wakin, J. Romberg, H. Choi and R. G. Baraniuk,"Geometric Tools for Image Compression," in Asilomar Conference on Signals, Systems, and Computers,, pp. 1725-1729.
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.
Date Published: 2002-11-01

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  • ECE Publications [1082 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.