Conceptual Basis of Cascading Differential Masking Technology

Pavlenko, Maksim; Kolmykov, Maksym; Tymochko, Oleksandr; Khmelevskiy, Serhii; Larin, Volodymyr

doi:10.1109/dessert50317.2020.9125024

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Methods with irreversible changes form the first class, as shown in [7][8][9]. In the process of compression technologies of morphological processing of video information are used.…”

Section: Analysis Of Compression Methods and Requirements For Equipmementioning

confidence: 99%

Development of an Advanced Method of Video Information Resource Compression in Navigation and Traffic Control Systems

Yevseiev

Abdalla

Осієвський

et al. 2020

EUREKA: Physics and Engineering

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The Earth's aerospace monitoring (ASM) systems use state-of-the-art integrated information technologies that include radio-based detection and surveillance systems using telecommunications. One of the main tasks of ASM systems is to increase the efficiency of decision-making necessary for the timely prevention, detection, localization and elimination of crisis situations and their probable consequences. Modern conditions impose stricter requirements for efficiency, reliability and quality of the provided video data. To ensure compliance with the requirements, it is necessary to provide the appropriate capabilities of the onboard equipment. On the basis of the existing information and communication systems it is necessary to carry out: continuous or periodic assessment of a condition of objects of supervision and control; continuous (operational) collection, reception, transmission, processing, analysis and display of information resources. It is proposed to use UAVs (unmanned aerial vehicles) as a means to perform ASM tasks. The time of organizing communication sessions and delivery of information should vary from a few seconds to 2.5 hours. Untimely processing and delivery of a specific information resource in the management process leads to its obsolescence or loss of relevance, which contributes to erroneous decisions. One way to reduce time is to encode the data. To do this, it is proposed to use video compression algorithms. However, based on the analysis of the possibility of modern methods of video information compression, taking into account the specifics of the onboard equipment of the UAV, the coding problem is not completely solved. The research results show the expediency of using an improved method of video information compression to reduce the computing resources of the software and hardware complex of the onboard UAV equipment and to ensure the requirements for efficiency and reliability of data in modern threats to ASM systems as a whole.

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“…Methods with irreversible changes form the first class, as shown in [7][8][9]. In the process of compression technologies of morphological processing of video information are used.…”

Section: Analysis Of Compression Methods and Requirements For Equipmementioning

confidence: 99%

Development of an Advanced Method of Video Information Resource Compression in Navigation and Traffic Control Systems

Yevseiev

Abdalla

Осієвський

et al. 2020

EUREKA: Physics and Engineering

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“…The main difficulty in working with video are large volumes of transmitted information and sensitivity to delays in the video information transmission. Therefore, in order to eliminate the maximum redundancy amount in the formation of the video sequence, 3 types of frames are used: I, P and B which form a frame group [4][5][6][7]. For a typical low complexity video sequence, the weight of each P-frame in the stream is approximately three times smaller than the I-frame weight.…”

Section: Introductionmentioning

confidence: 99%

Research of Images Filtration Methods in Computer Systems

Tymochko

Larin

Kolmykov

et al. 2021

A.I.S.

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It 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.

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