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Restoration of bilinearly distorted images. 3: Constrained least-squares method
1University of Wisconsin-Madison, Department of Electrical & Computer Engineering, Madison, Wisconsin 53706, USA.
Abstract:
A constrained least-squares solution based on a second difference smoothing measure is obtained for images which are distorted by a bilinear (quadratic and with nonzero memory) system in the presence of additive signal-independent noise. Results are applied to a partially coherent diffraction-limited imaging system. It is found that the optimum weight given to the smoothness factor is larger for a coherent (nonlinear) system than for an incoherent (linear) system. However, the restoration quality improves as the imaging system approaches incoherence.
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