Double-regularization approach for blind restoration of multichannel imagery

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 re...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on circuits and systems. 1, Fundamental theory and applications Fundamental theory and applications, 2001-09, Vol.48 (9), p.1075-1085
Main Authors: Chow, T.W.S., Xiao-Dong Li, Kai-Tat Ng
Format: Article
Language:English
Subjects:
Cameras
Cost function
Degradation
Filtering
Focusing
Humans
Image analysis
Image restoration
Performance analysis
Wiener filter
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1057-7122
1558-1268
DOI:10.1109/81.948435