SURE-LET interscale-intercolor wavelet thresholding for color image denoising
We propose a new orthonormal wavelet thresholding algorithm for denoising color images that are assumed to be corrupted by additive Gaussian white noise of known intercolor covariance matrix. The proposed wavelet denoiser consists of a linear expansion of thresholding (LET) functions, integrating both the interscale and intercolor dependencies. The linear parameters of the combination are then solved for by minimizing Stein's unbiased risk estimate (SURE), which is nothing but a robust unbiased estimate of the mean squared error (MSE) between the (unknown) noise-free data and the denoised one. Thanks to the quadratic form of this MSE estimate, the parameters optimization simply amounts to solve a linear system of equations.
WOS:000252227400045
2007
978-0-8194-6849-9
Proceedings Of The Society Of Photo-Optical Instrumentation Engineers (Spie); 6701
67011H
Event name | Event place | Event date |
San Diego, CA | Aug 26-29, 2007 | |