NDLI: Image coding based on mixture modeling of wavelet coefficients and a fast estimation-quantization framework

Content Provider	IEEE Xplore Digital Library
Author	LoPresto, S.M. Ramchandran, K. Orchard, M.T.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Illinois Univ., Champaign, IL, USA (LoPresto, S.M.)
Abstract	We introduce a new image compression paradigm that combines compression efficiency with speed, and is based on an independent "infinite" mixture model which accurately captures the space-frequency characterization of the wavelet image representation. Specifically, we model image wavelet coefficients as being drawn from an independent generalized Gaussian distribution field, of fixed unknown shape for each subband, having zero mean and unknown slowly spatially-varying variances. Based on this model, we develop a powerful "on the fly" estimation-quantization (EQ) framework that consists of: (i) first finding the maximum-likelihood estimate of the individual spatially-varying coefficient field variances based on causal and quantized spatial neighborhood contexts; and (ii) then applying an off-line rate-distortion (R-D) optimized quantization/entropy coding strategy, implemented as a fast lookup table, that is optimally matched to the derived variance estimates. A distinctive feature of our paradigm is the dynamic switching between forward and backward adaptation modes based on the reliability of causal prediction contexts. The performance of our coder is extremely competitive with the best published results in the literature across diverse classes of images and target bitrates of interest, in both compression efficiency and processing speed. For example, our coder exceeds the objective performance of the best zerotree-based wavelet coder based on space-frequency-quantization at all bit rates for all tested images at a fraction of its complexity.
Starting Page	221
Ending Page	230
File Size	571385
Page Count	10
File Format	PDF
ISBN	0818677619
ISSN	10680314
DOI	10.1109/DCC.1997.582045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Wavelet coefficients Bit rate Image representation Gaussian distribution Shape Context modeling Maximum likelihood estimation Rate-distortion Quantization
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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