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Conference Paper
Computational Optical Sensing and Imaging
Vancouver Canada
June 18, 2007
ISBN: 1-55752-838-1
Mathematical Methods (CTuC)

Multiframe Image Restoration with Wavelet Domain Regularization

Premchandra M. Shankar and Mark A. Neifeld


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We present a novel method for obtaining an object estimate from multiple blurred and noisy low-resolution images. We incorporate wavelet domain priors in a regularized-restoration framework that uses L-curve technique to find optimal regularization parameters.

© 2007 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.6640) Image processing : Superresolution

P. M. Shankar and M. A. Neifeld, " Multiframe Image Restoration with Wavelet Domain Regularization," in Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM, OSA Technical Digest (CD) (Optical Society of America, 2007), paper CTuC5.

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