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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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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
Divisions : Surrey research (other units)
Authors :
Ong, CA
Date : 1 December 1999
DOI : 10.1109/83.772250
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 24 Jan 2020 23:58

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