Abstract: In this invention, the resolution is enhanced by first effectively decreasing the scan angle subtended between adjacent samples significantly below that of the Rayleigh limit to obtain an image blurred by the point spread function (or diffraction pattern) of the aperture. The next step is to process this blurred image to at least partially remove the blur. The unblurring process consists of convolving this finely sampled blurred image with a specially designed convolution mask. This mask effectively outputs an enhanced pixel at each step of the convolution.The mask simultaneously performs the equivalent of the following operations:(1) blur the image again;(2) subtract this reblurred image from the original image to form degradation estimates; and(3) add the estimates of the losses back into the original image.

Abstract: A histogram equalization system that adaptively redistributes the intensity coding of the video in order to provide an equal number of elements at all display intensity levels. The actual amplitude value of the input video as stored in an integrator, for example, is utilized to address a random access memory which originally is loaded with all zeros. The memory is organized such that there are as many addressable words as there are possible video intensity values carried in the integrator thereby building up a histogram within the memory. Upon completion of the histogram, a constant equal to the number of picture elements corresponding to the data used to form the histogram divided by the number of values to which it is desired to truncate, is utilized in a comparator as the histogram memory is sequentially read out and accumulated to determine the truncation points.