Adaptive wavepacket decomposition and quantization in wavelet-based image coding

M. K. Mandal, T. Aboulnasr, Sethuraman Panchanathan

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

Abstract

Wavelet transform has recently emerged as a promising technique for image compression due to its flexibility in multiresolution representation of image signals. Current wavelet-based image compression techniques use compute intensive procedures for finding the optimal wave-packet decomposition and coefficient quantization for a given image. In this paper, we first propose an efficient wavepacket decomposition algorithm. We then propose a simple technique for finding quantization step-sizes in various wavelet bands when scalar quantization is employed. The proposed techniques provide a good coding performance at a substantially reduced complexity.

Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
PublisherIEEE
Pages1122-1126
Number of pages5
Volume2
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2) - Rio de Janeiro, Braz
Duration: Aug 13 1995Aug 16 1995

Other

OtherProceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2)
CityRio de Janeiro, Braz
Period8/13/958/16/95

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Fingerprint Dive into the research topics of 'Adaptive wavepacket decomposition and quantization in wavelet-based image coding'. Together they form a unique fingerprint.

  • Cite this

    Mandal, M. K., Aboulnasr, T., & Panchanathan, S. (1995). Adaptive wavepacket decomposition and quantization in wavelet-based image coding. In Midwest Symposium on Circuits and Systems (Vol. 2, pp. 1122-1126). IEEE.