Title :
An Improved NAS-RIF Algorithm Based on the Lifting Scheme for Blind Image Restoration
Author :
Wang, Hongzhi ; Qi, Sun ; Liu, Yuanyuan
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
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.
Keywords :
filtering theory; image restoration; image segmentation; NAS-RIF algorithm; blind image restoration; blurred image; edge features; image segmentation; lifting scheme; nonnegativity; recursive inverse filtering; wavelet denoising; Additive noise; Autoregressive processes; Circuits; Degradation; Filtering algorithms; Finite impulse response filter; Image restoration; Image segmentation; Iterative algorithms; Sun; Image segmentation; NAS-RIF; liftingwavelet;
Conference_Titel :
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3614-9
DOI :
10.1109/PACCS.2009.31
