Improved blind image restoration scheme using recurrent filtering

Author

Chow, T.W.S. ; Li, Xiao-Dong ; Cho, S.-Y.

Author_Institution

Dept. of Electron. Eng., City Polytech. of Hong Kong, Kowloon, Hong Kong

Volume

147

Issue

1

fYear

2000

fDate

2/1/2000 12:00:00 AM

Firstpage

23

Lastpage

28

Abstract

In the paper, the idea of space-adaptive regularisation is introduced into the nonnegativity and support constraints recursive inverse filtering (NAS-RIF) algorithm for blind image restoration. A newly developed cost function is obtained by adding a space-adaptive regularisation term to the cost function of the NAS-RIF algorithm to prevent noise amplification and to reduce ringing artifacts. Compared to the original NAS-RIF algorithm, the improved NAS-RIF algorithm is particularly effective under low SNR conditions. Also, the experimental results show that the convergence characteristic of the improved NAS-RIF algorithm is much more stable and the converged solution is capable of providing an excellent estimate of the original image

Keywords

adaptive filters; convergence of numerical methods; image restoration; recursive filters; NAS-RIF algorithm; blind image restoration scheme; convergence characteristic; cost function; low SNR conditions; nonnegativity; recurrent filtering; ringing artifacts; space-adaptive regularisation; support constraints recursive inverse filtering;

fLanguage

English

Journal_Title

Vision, Image and Signal Processing, IEE Proceedings -

Publisher

iet

ISSN

1350-245X

Type

jour

DOI

10.1049/ip-vis:20000367

Filename

842714