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.
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
|Divisions:||College Of Sciences > Mathematical Science Dept|
|Deposited By:||KFUPM ePrints Admin|
|Deposited On:||24 Jun 2008 16:22|
|Last Modified:||12 Apr 2011 13:14|
Repository Staff Only: item control page