Edge localized image sharpening via reassignment with application to computed tomography

Timothy Dorney, Srikrishna Bhashyam, Andrew Doran, Hyeokho Choi, Patrick Flandrin, Richard Baraniuk

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

Abstract

Traditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using computed tomography. Practical implementations limit the amount of high frequency content in the reconstructed image, and consequently, edges are blurred. We introduce a new post-reconstruction edge enhancement algorithm, based on the reassignment principle and wavelets, that localizes its sharpening exclusively to edge features. Our method enhances edges without disturbing the low frequency textural details.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages218-227
Number of pages10
Volume4121
StatePublished - 2000
EventMathematical Modeling, Estimation, and Imaging - San Diego, USA
Duration: Jul 31 2000Aug 1 2000

Other

OtherMathematical Modeling, Estimation, and Imaging
CitySan Diego, USA
Period7/31/008/1/00

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Edge localized image sharpening via reassignment with application to computed tomography'. Together they form a unique fingerprint.

Cite this