A PCA-wavelet based coding scheme for distance learning image compression

Qin Li, Qing Fu Fan, Jia You, Prabir Bhattacharya

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

Abstract

The large volume of images used in Distance Learning System are desirable to be compressed in a proper ratio to reduce the storage loading of computer servers and provide better VOD (Video on demand) services. A new PCA-Wavelet based coding Scheme for Distance Learning image compression is proposed in this paper. It consists of 1) Principle Components Analysis (PCA)to reduce the information redundancies along temporal dimension and a texture energy (TE)based technique used to classify the image sequence so that the PCA is optimized to produce better representative PCA channels for our handout images. 2) Wavelet decomposition and optimized LEG algorithm for compression in spatial domain. The experimental results demonstrate that our proposed coding scheme achieves good performance.
Original languageEnglish
Title of host publicationProceedings of the Fourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005
Pages214-219
Number of pages6
Publication statusPublished - 1 Dec 2005
EventFourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005 - Cambridge, MA, United States
Duration: 31 Oct 20052 Nov 2005

Conference

ConferenceFourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005
Country/TerritoryUnited States
CityCambridge, MA
Period31/10/052/11/05

Keywords

  • Distance Learning
  • Image Classification
  • Image Coding
  • LBG
  • PCA
  • Wavelet Transform

ASJC Scopus subject areas

  • Engineering(all)

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