Local Blur Estimation and Super-Resolution

Authors:
Ming-Chao Chiang;Terrance E. Boult
Affiliations:
-;-
Venue:
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Year:
1997

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Abstract

Until now, all super-resolution algorithms have presumed that the images were taken under the same illumination conditions. This paper introduces a new approach to super-resolution---based on edge models and a local blur estimate---which circumvents these difficulties. The paper presents the theory and the experimental results using the new approach.