Nonsubsampled contourlet transform: Filter design and applications in denoising

Arthur L. Da Cunha, J. Zhou, Minh N. Do

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

Abstract

In this paper we study the nonsubsampled contourlet transform. We address the corresponding filter design problem using the McClellan transformation. We show how zeroes can be imposed in the filters so that the iterated structure produces regular basis functions. The proposed design framework yields filters that can be implemented efficiently through a lifting factorization. We apply the constructed transform in image noise removal where the results obtained are comparable to the state-of-the art, being superior in some cases.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages749-752
Number of pages4
DOIs
StatePublished - Dec 1 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: Sep 11 2005Sep 14 2005

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period9/11/059/14/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Da Cunha, A. L., Zhou, J., & Do, M. N. (2005). Nonsubsampled contourlet transform: Filter design and applications in denoising. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 749-752). [1529859] (Proceedings - International Conference on Image Processing, ICIP; Vol. 1). https://doi.org/10.1109/ICIP.2005.1529859