METHODS OF IMAGE RESTORATION AND ESTIMATION OF THE HARDWARE FUNCTION FROM A THINNED OBSERVATION MATRIX
V. K. Klochko, V. P. Kuznetsov
Ryazan State Radio Engineering University, ul. Gagarina 59/1, Ryazan 390005
Keywords: восстановление изображений, аппаратная функция, прореженная матрица, свёртка, матричные методы, градиентный метод, итерационный метод, фильтр Винера, image restoration, hardware function, thinned matrix, convolution, matrix methods, gradient method, iterative method, Wiener filter
Abstract
Methods are proposed to restore object images and estimate the hardware function in a radiometric system of the millimeter range operating with a large elevation scanning step. These methods generalize the available approaches to image restoration in the spatial and frequency domains with a thinned observation matrix, and incorporate new approaches to estimating the hardware function. The results of experimental studies are given.
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