In this paper, we propose a method for expanding the functional range of image pre-processing systems (LUTs) and increasing sensitivity by reducing processing time. The main advantage of the implementation of preprocessing at FPSS is the implementation of spatio-temporal discrete-analog processing simultaneously with image formation. A disadvantage of the known methods for implementing image pre-processing systems is the low performance of the LDPE due to the fact that the processing is carried out step by step and the number of cycles is always the maximum regardless of the observation conditions. The purpose of the work is to expand the functional range of software and increase sensitivity, by reducing processing time. This goal was achieved by combining processing for the symmetric coefficients of the impulse response of a non-recursive filter. To assess the possibilities of improving the speed of the proposed processing method, noise suppression modeling on an X-ray image was simulated using low-pass filters with masks of size,,. Based on the difference between the original and processed images, it was concluded that the use of a mask is advisable. The use of a new processing method with a mask of dimension will allow to increase the performance by 2.778 times and, accordingly, the sensitivity of the software with 1.339 times.

Keywords: pre-processing, spatio-temporal, images, charge-coupled photosensitive devices, non-recursive filter