NDLI: Concentric-shell partition vector quantization with application to image coding

Content Provider	IEEE Xplore Digital Library
Author	Nguyen, H. Mark, J.W.
Copyright Year	1991
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada (Nguyen, H.; Mark, J.W.)
Abstract	A method is described for designing a vector quantizer by first partitioning the image vector space into concentric shells and then searching for the smallest possible codebook to represent it, while adhering to the visual perceptive qualities such as edges and textures in the image representation. The coding method involves decomposition of the image vector space into relatively independent components, each with a small dynamic range. Optimal partitioning amounts to optimally selecting the set of shell radii, using a modified form of simulated annealing. The results show that the concentric-shell partition vector quantizer outperforms the gain-shape vector quantizer in terms of computational complexity and coded image quality.<>
Starting Page	119
Ending Page	128
File Size	389574
Page Count	10
File Format	PDF
ISBN	0818692022
DOI	10.1109/DCC.1991.213379
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-04-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vector quantization Image coding Design engineering Nearest neighbor searches Design methodology Image representation Dynamic range Computational modeling Simulated annealing Computational complexity
Content Type	Text
Resource Type	Article

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