TY - GEN
T1 - A fast method for image noise estimation using laplacian operator and adaptive edge detection
AU - Tai, Shen-Chuan
AU - Yang, Shih-Ming
PY - 2008/9/5
Y1 - 2008/9/5
N2 - We present a simple and fast algorithm for image noise estimation. The input image is assumed to be corrupted by additive zero mean Gaussian noise. To exclude structures or details from contributing to the noise variance estimation, a simple edge detection algorithm using first-order gradients is applied first. Then a Laplacian operator followed by an averaging over the whole image will provide very accurate noise variance estimation. There is only one parameter which is self-determined and adaptive to the image contents. Simulation results show that the proposed algorithm performs well for different types of images over a large range of noise variances. Performance comparisons against other approaches are also provided.
AB - We present a simple and fast algorithm for image noise estimation. The input image is assumed to be corrupted by additive zero mean Gaussian noise. To exclude structures or details from contributing to the noise variance estimation, a simple edge detection algorithm using first-order gradients is applied first. Then a Laplacian operator followed by an averaging over the whole image will provide very accurate noise variance estimation. There is only one parameter which is self-determined and adaptive to the image contents. Simulation results show that the proposed algorithm performs well for different types of images over a large range of noise variances. Performance comparisons against other approaches are also provided.
UR - http://www.scopus.com/inward/record.url?scp=50649093301&partnerID=8YFLogxK
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U2 - 10.1109/ISCCSP.2008.4537384
DO - 10.1109/ISCCSP.2008.4537384
M3 - Conference contribution
AN - SCOPUS:50649093301
SN - 9781424416882
T3 - 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008
SP - 1077
EP - 1081
BT - 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008
T2 - 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008
Y2 - 12 March 2008 through 14 March 2008
ER -