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A hybrid LBG/lattice vector quantizer for high quality image codingIt is well known that a vector quantizer is an efficient coder offering a good trade-off between quantization distortion and bit rate. The performance of a vector quantizer asymptotically approaches the optimum bound with increasing dimensionality. A vector quantized image suffers from the following types of degradations: (1) edge regions in the coded image contain staircase effects, (2) quasi-constant or slowly varying regions suffer from contouring effects, and (3) textured regions lose details and suffer from granular noise. All three of these degradations are due to the finite size of the code book, the distortion measures used in the design, and due to the finite training procedure involved in the construction of the code book. In this paper, we present an adaptive technique which attempts to ameliorate the edge distortion and contouring effects.
Document ID
19920014178
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Ramamoorthy, V. (Technology Resources, Inc., Saint Louis MO., United States)
Sayood, K. (Nebraska Univ. Lincoln, NE, United States)
Arikan, E. (Nebraska Univ. Lincoln, NE, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1991
Publication Information
Publication: Design of Joint Source(Channel Coders
Subject Category
Computer Programming And Software
Accession Number
92N23421
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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