METHOD OF SPACE IMAGE IMPROVEMENT BY USING SPATIAL OPTICAL MASK AND FREQUENCY FILTERS

Abstract

Simple but effective program for the improvement of quality of space images, which is based on spatial and frequency filtration with a variety of filters, is provided are present. The theory of creating optical masks, which consists in using a convolution operation, is described. As an example, Gauss smoothing filters are considered. Practical part of this work was realized by using Python 3.7.4 program language in the environment Visual Studio 2017 Community Edition. Some programs where realized by using Jupyter Nonebook.  This are presented 8 spatial filters. Also frequency filtering is performed by using Lowpass and Highpass filters at different fitting parameters. As an example for implementation of this program, the image space photography of Defense monastery of St. Basil the Great was taken. The results of filtering the image in the frequency range by using Lowpass and Highpass filters at different fitting parameters are shows, that it is better to apply frequency filtering after spatial selection in certain areas. In particular, for the case of image filtering with Highpass filters, remains of lost defensive walls of Defense monastery of St. Basil the Great are clearly visible.

Keywords: Gaussian functions, image space images, lowpass and highpass spatial filters. frequency filters, convolution operation.