Title :
MMSE nonlocal means denoising algorithm for Poisson noise removal
Author :
Lee, Chul ; Lee, Chulwoo ; Kim, Chang-Su
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
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.
Keywords :
Bayes methods; Poisson distribution; filtering theory; image denoising; mean square error methods; Bayesian estimation theory; MMSE denoising filter; MMSE nonlocal means denoising algorithm; Poisson noise removal; image denoising algorithm; minimum mean square error; Approximation algorithms; Approximation methods; Image processing; Noise; Noise measurement; Noise reduction; Vectors; Bayesian estimation; Image denoising; MMSE denoising; Poisson noise; nonlocal means (NLM) filter;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116186
