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Документ Research of images filtration methods in computer systems(Національний технічний університет "Харківський політехнічний інститут", 2021) Tymochko, Oleksandr; Larin, Volodymyr; Kolmykov, Maksym; Timochko, Oleksander; Pavlenko, VladislavaIt is known that human eyes are less sensitive to color, than to their brightness. In the RGB color space, all three components are considered equally important, and they are usually stored with the same resolution. However, you can display a color image more efficiently, separating the brightness from color information and presenting it with a higher resolution than color. RGB space is well suited for computer graphics, because it uses these three components for color formation. However, RGB space is not very effective when it comes to real images. The fact is that to save the color of an image, you need to know and store all three components of the RGB, and if one of them is missing, it will greatly distort the visual image representation. Also, when processing images in RGB space, it is not always convenient to perform any pixel conversion, because, in this case, it will be necessary to list all three values of the RGB component and write back. This greatly reduces the performance of various image processing algorithms. For these and other reasons, many video standards use brightness and two signals that carry information about the red and blue components of the signal, as a color model other than RGB. The most famous among such spaces is YCbCr.Документ Method of processing video information resource for aircraft navigation systems and motion control(Національний технічний університет "Харківський політехнічний інститут", 2020) Tymochko, O.; Larin, V.; Osiievskyi, S.; Timochko, O.; Abdalla, A.It has been considered the existing methods of processing of video information resource in modern aircraft navigation systems and motion control. Also it is indicated that there is a contradiction between the need to reduce the intensity of information resource for strongly saturated fragments and to maintain the correspondence of recovered fragments to the original aerial photo. It has been described the components' characteristics of the transforming for the image's areas with varying structure complexity. The rationalization of the dividing strategy is based on the complexity of aerial photographs is substantiated. It is proposed to quantize the transformation's description of an aerial video information segment in relation to the base element's value vector to a certain threshold value. The reduction of combinatorial redundancy as a result of the application of top-level quantized levels array in a separable space is substantiated.