A novel low-bit-rate image compression algorithm

Qing Xia, Xiaoguang Li, Li Zhuo, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

In this paper, a novel image compression approach for low-bit-rate applications is proposed. Our algorithm combines both super-resolution techniques and compression techniques so that a higher compression rate, with satisfactory visual quality, can be achieved. In the coding process, the down-scaled version of the input image is divided into blocks, and each block is classified as either a textural block or a flat block. For the flat blocks, a skipping scheme is employed in the compression process so as to save the bits. The coding of the skip blocks, identified by the skipping scheme, will make reference to the reconstructed regions of the image in the encoding process. For the textural blocks, the standard JPEG coding method is employed. In the decoding process, the decompressed image is up-scaled using a super-resolution algorithm. Experimental results show the superior performance of our method in terms of both compression efficiency and visual quality.
Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
Pages100-110
Number of pages11
EditionPART 2
DOIs
Publication statusPublished - 9 Nov 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: 21 Sep 201024 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6298 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Pacific Rim Conference on Multimedia, PCM 2010
Country/TerritoryChina
CityShanghai
Period21/09/1024/09/10

Keywords

  • Image compression
  • Low bit-rate coding
  • Super-resolution
  • Textural classification

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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