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Improved Distortion Measures for Image Vector Quantization

Makur, Anamitra (1991) Improved Distortion Measures for Image Vector Quantization. In: 1991 IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems. TENCON '91, 28-30 August, New Delhi,India, Vol.2, 16-20.

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Abstract

The role played by the distortion measure in a vector quantization image encoder is very important. In the following paper we suggest a general class of distortion function, the input-dependent weighted square error distortion, which is computationally simple and can be used to incorporate some psychovisual characteristics. Two techniques of using this distortion function have been discussed. Incorporating various classes depending on image activity in the distortion measure, better subjective quality can be achieved without added complexity, as our simulation studies have shown. This strategy of classified codebook is optimal and more general than the conventional subcodebook method. We also show that incorporating dimensional emphasis, blockiness can be reduced in lieu of marginally more computation.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ernet.in/id/eprint/6898

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