TY - GEN
T1 - MMSE nonlocal means denoising algorithm for Poisson noise removal
AU - Lee, Chul
AU - Lee, Chulwoo
AU - Kim, Chang-Su
PY - 2011
Y1 - 2011
N2 - 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.
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.
KW - Bayesian estimation
KW - Image denoising
KW - MMSE denoising
KW - Poisson noise
KW - nonlocal means (NLM) filter
UR - http://www.scopus.com/inward/record.url?scp=84863065589&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863065589&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116186
DO - 10.1109/ICIP.2011.6116186
M3 - Conference contribution
AN - SCOPUS:84863065589
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2561
EP - 2564
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -