The Blind Deconvolution Algorithm can be used effectively when no information about the distortion (blurring and noise) is known. The algorithm restores the image and the point-spread function (PSF) simultaneously. The accelerated, damped Richardson-

The Lucy-Richardson algorithm can be used effectively when the point-spread function PSF (blurring operator) is known, but little or no information is available for the noise. The blurred and noisy image is restored by the iterative, accelerated, dam

ically like a PSF, but needn’t be the same function. For narrow kernels, the pixel-mixel “voting” is almost 1-to-1, but for diffuse kernels, each mixel value is the weighted combination of information from many pixels, leading to a “blurred” com

hat the image I was created by convolving a true image with a % point-spread function PSF and possibly by adding noise. The algorithm % is optimal in a sense of least mean square error between the % estimated and the true images