1 April 1998 Efficient retrieval of the regularized least squares solution
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Optical Engineering, 37(4), (1998). doi:10.1117/1.601965
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.
Ramakrishnan Sundaram, "Efficient retrieval of the regularized least squares solution," Optical Engineering 37(4), (1 April 1998). http://dx.doi.org/10.1117/1.601965
JOURNAL ARTICLE
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KEYWORDS
Image restoration

Convolution

Matrices

Optical engineering

Algorithm development

Deconvolution

Error analysis

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