Subband adaptive image denoising via bivariate shrinkage

Levent Şendur, Ivan Selesnick

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

Abstract

It is well known that the wavelet coefficients of natural images have significant statistical dependencies. To model the non-Gaussian nature of these statistics, a new bivariate pdf is proposed in this paper and applied to the image denoising problem. For this purpose, the corresponding new bivariate shrinkage function is derived using MAP estimator. Using this function, a subband dependent data-driven system is described and applied to both orthogonal and dual-tree complex wavelet coefficients. Also, some comparisons to the other effective data-driven techniques are given.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Volume3
StatePublished - 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

Fingerprint

Image denoising
Statistics

ASJC Scopus subject areas

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

Cite this

Şendur, L., & Selesnick, I. (2002). Subband adaptive image denoising via bivariate shrinkage. In IEEE International Conference on Image Processing (Vol. 3)

Subband adaptive image denoising via bivariate shrinkage. / Şendur, Levent; Selesnick, Ivan.

IEEE International Conference on Image Processing. Vol. 3 2002.

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

Şendur, L & Selesnick, I 2002, Subband adaptive image denoising via bivariate shrinkage. in IEEE International Conference on Image Processing. vol. 3, International Conference on Image Processing (ICIP'02), Rochester, NY, United States, 9/22/02.
Şendur L, Selesnick I. Subband adaptive image denoising via bivariate shrinkage. In IEEE International Conference on Image Processing. Vol. 3. 2002
Şendur, Levent ; Selesnick, Ivan. / Subband adaptive image denoising via bivariate shrinkage. IEEE International Conference on Image Processing. Vol. 3 2002.
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