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

(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.

[img]
Preview
PDF
14090_1.pdf

Download (18kB) | Preview
[img] Microsoft Word
14090_2.doc

Download (26kB)

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: https://eprints.kfupm.edu.sa/id/eprint/14090