Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
May 16, 2009 to May 17, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PACCS.2009.31
This paper introduces the basic principle of non-negativity and support constraints recursive inverse filtering (NAS-RIF) algorithm and the shortcoming of it. We propose an improved scheme. Firstly we use the lifting wavelet de-noising technique to smoothen the blurred image, and then in the each iteration of NAS-RIF algorithm process adopt the image segmentation to find out the precise support constraints. Comparing with the traditional methods, this method has a positive improvement in restraining the noise enlargement, maintaining the edge features, improving the signal to noise rate.
NAS-RIF; liftingwavelet; Image segmentation
S. Qi, H. Wang and Y. Liu, "An Improved NAS-RIF Algorithm Based on the Lifting Scheme for Blind Image Restoration," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 423-426.