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Rate-Distortion Optimized Image Compression using Wedgelets

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Title: Rate-Distortion Optimized Image Compression using Wedgelets
Author: Wakin, Michael; Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G.
Type: Conference Paper
Keywords: image compression; wedgelets; rate-distortion; WSFQ
Citation: M. Wakin, J. Romberg, H. Choi and R. G. Baraniuk,"Rate-Distortion Optimized Image Compression using Wedgelets," in IEEE International Conference on Image Processing,, pp. III-237-III-240.
Abstract: Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable compression algorithm. In this paper, we propose an extension of the zerotree-based Space-Frequency Quantization (SFQ) algorithm by adding a wedgelet symbol to its tree-pruning optimization. This incorporates wedgelets into a rate-distortion compression framework and allows simple, coherent descriptions of the wavelet coefficients near edges. The resulting method yields improved visual quality and increased compression efficiency over the standard SFQ technique.
Date Published: 2002-06-01

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  • ECE Publications [1034 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.