Optimally weighted highpass filters using multiscale analysis

Robert D. Nowak, Richard G. Baraniuk

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

3 Scopus citations

Abstract

In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to optimally tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages224-229
Number of pages6
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation - San Antonio, TX, USA
Duration: Apr 8 1996Apr 9 1996

Other

OtherProceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation
CitySan Antonio, TX, USA
Period4/8/964/9/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint

Dive into the research topics of 'Optimally weighted highpass filters using multiscale analysis'. Together they form a unique fingerprint.

Cite this