(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
Subjects:	Computer
Department:	College of Computing and Mathematics > Mathematics
Depositing User:	Mr. Admin Admin
Date Deposited:	24 Jun 2008 13:22
Last Modified:	01 Nov 2019 14:04
URI:	http://eprints.kfupm.edu.sa/id/eprint/14090