NDLI: Embedded wavelet image compression based on a joint probability model

Content Provider	IEEE Xplore Digital Library
Author	Simoncelli, E.P. Buccigrossi, R.T.
Copyright Year	1997
Description	Author affiliation: Courant Inst. of Math. Sci., New York Univ., NY, USA (Simoncelli, E.P.)
Abstract	We present an embedded image coder based on a statistical characterization of natural images in the wavelet transform domain. We describe the joint distribution between pairs of coefficients at adjacent spatial locations, orientations, and scales. Although the raw coefficients are nearly, uncorrelated, their magnitudes are highly correlated. A linear magnitude predictor coupled with both multiplicative and additive uncertainties, provides a reasonable description of the conditional probability densities. We use this model to construct an image coder called EPWIC (embedded predictive wavelet image coder), in which subband coefficients are encoded one bit-plane at a time using a non-adaptive arithmetic encoder. Bit-planes are ordered using a greedy algorithm that considers the MSE reduction per encoded bit. We demonstrate the quality of the statistical characterization by comparing rate-distortion curves of the coder to several standard coders.
Starting Page	640
Ending Page	643
File Size	454075
Page Count	4
File Format	PDF
ISBN	0818681837
DOI	10.1109/ICIP.1997.647994
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Probability Wavelet domain Wavelet transforms Uncertainty Predictive models Arithmetic Greedy algorithms Rate-distortion Code standards
Content Type	Text
Resource Type	Article

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