Abstract
In many applications that necessitate image recovery the imaging system can be modeled as a convolution of the original image with an ill-posed operator and then adding noise. We assume that the M×M original image is blurred by a space-invariant convolution operator and independent identically distributed (i.i.d.) zero mean additive noise described by the model where H is a M2×M2 Toeplitz matrix modeling the space-invariant blur, the vectors g, f, and n are M2×1 lexicographic orders of the degraded observed image, the original image and the noise, respectively.
© 1992 Optical Society of America
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