Efficient retrieval of the regularized least squares solution

Ramakrishnan Sundaram

doi:10.1117/1.601965

1 April 1998 Efficient retrieval of the regularized least squares solution

Ramakrishnan Sundaram

Optical Engineering, Vol. 37, Issue 4, (April 1998). https://doi.org/10.1117/1.601965

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.

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Ramakrishnan Sundaram "Efficient retrieval of the regularized least squares solution," Optical Engineering 37(4), (1 April 1998). https://doi.org/10.1117/1.601965

Published: 1 April 1998

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