Noisy image restoration by cost function minimization

Authors:
Eli Harouche;Shmuel Peleg;Haim Shvaytser;Larry S Davis
Affiliations:
University of Maryland, Center for Automation Research, College Park, MD 20742, USA;University of Maryland, Center for Automation Research, College Park, MD 20742, USA;University of Maryland, Center for Automation Research, College Park, MD 20742, USA;University of Maryland, Center for Automation Research, College Park, MD 20742, USA
Venue:
Pattern Recognition Letters
Year:
1985

Citing 2
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Abstract

Implementation of a new approach to the nonlinear noisy image restoration problem, which is feasible for large images, is described. The approach is based on a vector space representation of images and on using the conjugate gradient algorithm to solve a least squares minimization problem. Computer simulations yield good results with relatively little computational cost.