Improved SMVQ scheme with edge-directed prediction

Chin Chen Chang*, Yi Hui Chen, Kuan Ming Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The side-match vector quantization (SMVQ) technique has been widely used in various image compression and hiding techniques. It effectively decreases the bit rates of image with a great compressed quality. However, the prediction is not precise while the variation between the encoded block and its neighboring upper and left blocks is large. Due to the imprecision will cause derailment problem, to solve this problem, this paper proposed an EDPSMVQ scheme which is based on edge-directed prediction (EDP) to precisely predict the side-match pixels avoiding the derailment problem. The experimental results showed that the scheme achieves a high compression ratio with an acceptable image quality.

Original languageEnglish
Title of host publicationProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
Pages541-544
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006 - Pasadena, CA, United States
Duration: 18 12 200620 12 2006

Publication series

NameProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006

Conference

Conference2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
Country/TerritoryUnited States
CityPasadena, CA
Period18/12/0620/12/06

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