Finding a suitable wavelet for image compression applications

Shahid Masud, John V. McCanny

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

18 Citations (Scopus)

Abstract

In this paper we assess the relative merits of various types of wavelet functions for use in a wide range of image compression scenarios. We have delineated different algorithmic criteria that can be used for wavelet evaluation. The assessment undertaken includes both algorithmic aspects (fidelity, perceptual quality) as well as suitability for real-time implementation in hardware. The results obtained indicate that of the wavelets studied the biorthogonal 9&7 taps wavelet is the most suitable from a compression perspective and that the Daubechies 8 taps gives best performance when assessed solely in terms of statistical measures.

Original languageEnglish
Title of host publicationProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Pages2581-2584
Number of pages4
Volume5
DOIs
Publication statusPublished - 01 Dec 1998
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech, and Signal Processing 1998 - Seattle, United States
Duration: 12 May 199815 May 1998
https://doi.org/10.1109/ICASSP.1998

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing 1998
Abbreviated titleICASSP 1998
Country/TerritoryUnited States
CitySeattle
Period12/05/199815/05/1998
Internet address

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Finding a suitable wavelet for image compression applications'. Together they form a unique fingerprint.

Cite this