Blind Deconvolution of Gaussian Blurred Images
Zhong Sha, Shen Zhen-kang · Computer Engineering and Science · 2004
In many image restoration applications, the point spread function(PSF) is not known exactly. We establish a blind deconvolution algorithm for images, where the PSF is smooth or similar to that of Gaussian blur. Using alternative iterative steps to solve the minimization problem, our algorithm is suitable for the total least square (TLS) method. This algorithm is efficient because different PSFs can be identified at the same SNR without changing parameters. Final experiments are presented to demonstrate the effectiveness and robustness of the algorithm.