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

fYear

2009

fDate

16-17 May 2009

Firstpage

423

Lastpage

426

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3614-9

Type

conf

DOI

10.1109/PACCS.2009.31

Filename

5232376