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19 January 1995 Optimization of regularization operators for adaptive least-squares image restoration
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Proceedings Volume 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94); (1995) https://doi.org/10.1117/12.199617
Event: Digital Image Processing and Computer Graphics: Fifth International Workshop, 1994, Samara, Russian Federation
Abstract
This paper presents regularized least squares algorithms for the restoration and reconstruction of images. Whitening filters of short length are derived formally as optimal regularization operators. Adaptive versions of the algorithms are developed by matching a weighting function to the particular regularization function. The adaptive regularization leads to proper noise suppression as well as to enhanced resolution of discontinuities. The application focuses on the restoration of images recorded by the Hubble Space Telescope (HST).
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bernhard O. Bundschuh "Optimization of regularization operators for adaptive least-squares image restoration", Proc. SPIE 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94), (19 January 1995); https://doi.org/10.1117/12.199617
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