A new complex-directional wavelet transform and its application to image denoising

Research output: Contribution to conferencePaper

Abstract

This paper describes a new complex-directional expansive perfect reconstruction two-dimensional wavelet transform. Each complex wavelet is oriented along one of six possible directions, and the magnitude of each complex wavelet has a smooth bell-shape. The transform is based both on the complex dual-tree wavelet transform introduced by Kingsbury and on the double-density DWT. It is designed so as to possess simultaneously the properties of the complex dual-tree DWT and the double-density DWT. The paper also describes a simple subband-dependent data-driven denoising algorithm for use with this transform. An example is shown to illustrate the performance of the denoising algorithm and the transform.

Original languageEnglish (US)
PagesIII/573-III/576
StatePublished - Jan 1 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002

Other

OtherInternational Conference on Image Processing (ICIP'02)
CountryUnited States
CityRochester, NY
Period9/22/029/25/02

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'A new complex-directional wavelet transform and its application to image denoising'. Together they form a unique fingerprint.

  • Cite this

    Selesnick, I. W. (2002). A new complex-directional wavelet transform and its application to image denoising. III/573-III/576. Paper presented at International Conference on Image Processing (ICIP'02), Rochester, NY, United States.