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Small-kernel, constrained least-squares restoration of sampled image dataFollowing the work of Park (1989), who extended a derivation of the Wiener filter based on the incomplete discrete/discrete model to a more comprehensive end-to-end continuous/discrete/continuous model, it is shown that a derivation of the constrained least-squares (CLS) filter based on the discrete/discrete model can also be extended to this more comprehensive continuous/discrete/continuous model. This results in an improved CLS restoration filter, which can be efficiently implemented as a small-kernel convolution in the spatial domain.
Document ID
19930048446
Document Type
Conference Paper
Authors
Hazra, Rajeeb (Lockheed Engineering & Sciences Co.; NASA, Langley Research Center Hampton, VA, United States)
Park, Stephen K. (College of William and Mary Williamsburg, VA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: Visual information processing; Proceedings of the Meeting, Orlando, FL, Apr. 20-22, 1992 (A93-32438 12-61)
Subject Category
COMPUTER PROGRAMMING AND SOFTWARE
Distribution Limits
Public
Copyright
Other

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IDRelationTitle19930048441Analytic PrimaryVisual information processing; Proceedings of the Meeting, Orlando, FL, Apr. 20-22, 1992