MMSE nonlocal means denoising algorithm for Poisson noise removal

Chul Lee; Chulwoo Lee; Chang-Su Kim

doi:10.1109/ICIP.2011.6116186

MMSE nonlocal means denoising algorithm for Poisson noise removal

Chul Lee, Chulwoo Lee, Chang-Su Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

A nonlocal minimum mean square error (MMSE) image denoising algorithm to remove Poisson noise is proposed in this work. Based on the Bayesian estimation theory, we first derive the nonlocal MMSE denoising filter, which can minimize the mean square error (MSE) of a denoised block. Then, we develop an approximation of the filter for practical implementation. Simulation results show that the proposed algorithm provides significantly better denoising performance than the conventional nonlocal means filter and its recent extension for Poisson noise.

Original language	English
Title of host publication	ICIP 2011
Subtitle of host publication	2011 18th IEEE International Conference on Image Processing
Pages	2561-2564
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2011.6116186
Publication status	Published - 2011
Event	2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium Duration: 2011 Sept 11 → 2011 Sept 14

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/Territory	Belgium
City	Brussels
Period	11/9/11 → 11/9/14

Keywords

Bayesian estimation
Image denoising
MMSE denoising
Poisson noise
nonlocal means (NLM) filter

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2011.6116186

Cite this

Lee, C, Lee, C & Kim, C-S 2011, MMSE nonlocal means denoising algorithm for Poisson noise removal. in ICIP 2011: 2011 18th IEEE International Conference on Image Processing., 6116186, Proceedings - International Conference on Image Processing, ICIP, pp. 2561-2564, 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, 11/9/11. https://doi.org/10.1109/ICIP.2011.6116186

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abstract = "A nonlocal minimum mean square error (MMSE) image denoising algorithm to remove Poisson noise is proposed in this work. Based on the Bayesian estimation theory, we first derive the nonlocal MMSE denoising filter, which can minimize the mean square error (MSE) of a denoised block. Then, we develop an approximation of the filter for practical implementation. Simulation results show that the proposed algorithm provides significantly better denoising performance than the conventional nonlocal means filter and its recent extension for Poisson noise.",

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year = "2011",

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language = "English",

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series = "Proceedings - International Conference on Image Processing, ICIP",

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AB - A nonlocal minimum mean square error (MMSE) image denoising algorithm to remove Poisson noise is proposed in this work. Based on the Bayesian estimation theory, we first derive the nonlocal MMSE denoising filter, which can minimize the mean square error (MSE) of a denoised block. Then, we develop an approximation of the filter for practical implementation. Simulation results show that the proposed algorithm provides significantly better denoising performance than the conventional nonlocal means filter and its recent extension for Poisson noise.

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MMSE nonlocal means denoising algorithm for Poisson noise removal

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