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Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
Chengdu, China
May 16, 2009 to May 17, 2009
ISBN: 978-0-7695-3614-9
pp: 423-426
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.
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