Double-regularization approach for blind restoration of multichannel imagery

Author

Chow, Tommy W S ; Li, Xiao-Dong ; Ng, Kai-Tat

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, China

Volume

48

Issue

9

fYear

2001

fDate

9/1/2001 12:00:00 AM

Firstpage

1075

Lastpage

1085

Abstract

In this paper, a double-regularization (DR) approach is proposed to perform blind multichannel imagery restoration. The proposed DR approach effectively utilizes the smoothness property of image planes and blur operators. The correlations between different image planes are considered in the blind restoration process. The proposed approach minimizes a cost function that consists of a restoration error measure about each image plane and two regularization terms. The conjugate gradient type alternative-minimization (AM) strategy is derived to minimize the cost function. The developed AM strategy is simple and effective. Excellent results were obtained. The proposed approach provides a new dimension for the blind restoration of the multichannel imagery

Keywords

conjugate gradient methods; image restoration; minimisation; alternative-minimization strategy; blind restoration; blur operators; conjugate gradient type; cost function; double-regularization approach; image planes; iterative algorithm; multichannel imagery; restoration error measure; smoothness property; Cameras; Cost function; Degradation; Filtering; Focusing; Humans; Image analysis; Image restoration; Performance analysis; Wiener filter;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.948435

Filename

948435