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20

CVPR
1997
IEEE

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154views Computer Vision» more CVPR 1997»

Local Blur Estimation and Super-Resolution

15 years 26 days ago

Local Blur Estimation and Super-Resolution

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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.

Ming-Chao Chiang, Terrance E. Boult

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Added	12 Oct 2009
Updated	30 Oct 2009
Type	Conference
Year	1997
Where	CVPR
Authors	Ming-Chao Chiang, Terrance E. Boult

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