Orthonormal finite ridgelet transform for image compression

Minh N Do, M. Vetterli

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

Abstract

A finite implementation of the ridgelet transform is presented. The transform is invertible, non-redundant and achieved via fast algorithms. Furthermore we show that this transform is orthogonal hence it allows one to use non-linear approximations for the representations of images. Numerical results on different test images are shown. Those results conform with the theory of the ridgelet transform in the continuous domain - the obtained representation can represent efficiently images with linear singularities. Thus it indicates the potential of the proposed system as a new transform for coding of images.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Pages367-370
Number of pages4
Volume2
StatePublished - 2000
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Orthonormal finite ridgelet transform for image compression'. Together they form a unique fingerprint.

Cite this