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An enhanced NAS-RIF algorithm for blind image deconvolution

Ong, CA and Chambers, JA (1999) An enhanced NAS-RIF algorithm for blind image deconvolution IEEE Transactions on Image Processing, 8 (7). pp. 988-992.

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Abstract

We enhance the performance of the nonnegativity and support constraints recursive inverse filtering (NAS-RIF) algorithm for blind image deconvolution. The original cost function is modified to overcome the problem of operation on images with different scales for the representation of pixel intensity levels. Algorithm resetting is used to enhance the convergence of the conjugate gradient algorithm. A simple pixel classification approach is used to automate the selection of the support constraint. The performance of the resulting enhanced NAS-RIF algorithm is demonstrated on various images. © 1999 IEEE.

Item Type: Article
Authors :
NameEmailORCID
Ong, CAUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 1 December 1999
Identification Number : https://doi.org/10.1109/83.772250
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 17 May 2017 13:27
URI: http://epubs.surrey.ac.uk/id/eprint/839278

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