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Always-Convergent Iterative Noise Removal and Deconvolution for Image DataLinear filtering techniques currently used for the restoration of noisy, blurred or otherwise degraded image data are discussed and new techniques related to the iterative techniques of Morrison and van Cittert are developed and implemented. Programs written for the implementation are discussed in the appendices. It is shown that the new techniques are convergent for any system response function, and they are applied to the task of restoring a severely blurred image.
Document ID
19860001357
Acquisition Source
Legacy CDMS
Document Type
Thesis/Dissertation
Authors
Ioup, G. E. (New Orleans Univ. LA, United States)
Whitehorn, M. A. (New Orleans Univ. LA, United States)
Date Acquired
September 5, 2013
Publication Date
December 1, 1981
Subject Category
Computer Programming And Software
Report/Patent Number
NAS 1.26:176223
NASA-CR-176223
Accession Number
86N10824
Funding Number(s)
CONTRACT_GRANT: NSG-1648
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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