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Higher order conditional entropy-constrained trellis-coded RVQ withapplication to pyramid image coding

Khan, M.A.U. (2001) Higher order conditional entropy-constrained trellis-coded RVQ withapplication to pyramid image coding. Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on, 1.

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Abstract

This paper introduces an extension of conditional entropy-constrained residual vector quantization (CEC-RVQ) to include quantization cell shape gain. The method is referred to as conditional entropy-constrained trellis-coded RVQ (CEC-TCRVQ). The new design is based on coding image vectors by taking into account their 2D correlation and employing a higher order entropy model with a trellis structure. We employed CEC-TCRVQ to code image subbands at low bit rate. The CEC-TCRVQ coded images do well in term of preserving low-magnitude textures present in some images



Item Type:Article
Date:2001
Date Type:Publication
Subjects:Computer
Divisions:College Of Sciences > Mathematical Science Dept
Creators:Khan, M.A.U.
ID Code:14090
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:22
Last Modified:12 Apr 2011 13:14

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