Wavelet-based image coding using HVS characteristics

Mrinal K. Mandal, Sethuraman Panchanathan, T. Aboulnasr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. In wavelet-based compression, coding performance can be improved by exploiting human visual system characteristics. In this paper, we propose an algorithm, optimal in the weighted mean square sense, to quantize the wavelet coefficients. The proposed algorithm provides a superior coding performance.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsAndrew F. Laine, Michael A. Unser, Mladen V. Wickerhauser
Pages345-352
Number of pages8
Edition1/-
StatePublished - Dec 1 1995
Externally publishedYes
EventWavelet Applications in Signal and Image Processing III. Part 1 (of 2) - San Diego, CA, USA
Duration: Jul 12 1995Jul 14 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Number1/-
Volume2569
ISSN (Print)0277-786X

Other

OtherWavelet Applications in Signal and Image Processing III. Part 1 (of 2)
CitySan Diego, CA, USA
Period7/12/957/14/95

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ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Mandal, M. K., Panchanathan, S., & Aboulnasr, T. (1995). Wavelet-based image coding using HVS characteristics. In A. F. Laine, M. A. Unser, & M. V. Wickerhauser (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (1/- ed., pp. 345-352). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2569 , No. 1/-).