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Optical Engineering

Efficient retrieval of the regularized least squares solution
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Paper Abstract

An adaptive approach to the recovery of the least-squares (LS) solution employing regularization and conjugate gradient descent is developed. This is then implemented on image data corrupted by deterministic blur and additive Gaussian noise. The approach is useful where large data vectors are being processed with the need to conserve space and obtain reliable estimates rapidly.

Paper Details

Date Published: 1 April 1998
PDF: 7 pages
Opt. Eng. 37(4) doi: 10.1117/1.601965
Published in: Optical Engineering Volume 37, Issue 4
Show Author Affiliations
Ramakrishnan Sundaram, Information Systems, Inc. (United States)

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