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Optimal focal-plane restorationImage restoration can be implemented efficiently by calculating the convolution of the digital image and a small kernel during image acquisition. Processing the image in the focal-plane in this way requires less computation than traditional Fourier-transform-based techniques such as the Wiener filter and constrained least-squares filter. Here, the values of the convolution kernel that yield the restoration with minimum expected mean-square error are determined using a frequency analysis of the end-to-end imaging system. This development accounts for constraints on the size and shape of the spatial kernel and all the components of the imaging system. Simulation results indicate the technique is effective and efficient.
Document ID
19900006891
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Reichenbach, Stephen E. (College of William and Mary Williamsburg, VA, United States)
Park, Stephen K. (College of William and Mary Williamsburg, VA, United States)
Date Acquired
September 6, 2013
Publication Date
November 1, 1989
Publication Information
Publication: NASA, Langley Research Center, Visual Information Processing for Television and Telerobotics
Subject Category
Instrumentation And Photography
Accession Number
90N16207
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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