Iterative methods for solving managed problems of the television image processing

Beknazarova, Saida; Muhamadiyev, A Sh

doi:10.1088/1742-6596/2032/1/012002

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…To determine the overall contrast of a digital image using one of the contrast definitions (Weber, Michelson or RMS), local contrast values are calculated in all pixels of the image or in certain groups of pixels, after which the values obtained are somehow averaged. The resulting value is the overall contrast of the image [15]. The R.A. Vorobel method is an alternative method for determining how contrasting a digital image is:…”

Section: Methodsmentioning

confidence: 99%

Methods of increasing the contrast of images in video information systems

Beknazarova,

Abdullayev,

Abdullayeva

et al. 2024

Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023)

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In the article describe the methods of increasing the contrast of images in video information systems, the main compression of the video stream is provided by eliminating inter-frame redundancy using motion compensation methods for image fragments of adjacent frames. However, the use of motion compensation methods requires the formation of additional data (metadata) containing information about the types of image blocks used, the coordinates of their movement, etc. At the same time, in order to increase the compression of the video stream without compromising its quality, a higher accuracy of motion compensation is required, which leads to an increase in the number of blocks and, accordingly, to an increase in the volume of metadata that reduces the effectiveness of motion compensation. This is the main problem of compressing streaming video without degrading the quality of images. In addition, the higher accuracy of positioning blocks with motion compensation dramatically reduces the speed of image processing, which is not always feasible in real-time systems.

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Section: Methodsmentioning

confidence: 99%

Methods of increasing the contrast of images in video information systems

Beknazarova,

Abdullayev,

Abdullayeva

et al. 2024

Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023)

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“…To correct the contrast, the contours of the image are calculated. As a result of summing the brightness of the pixels of the image with the brightness of the calculated contours, the contrast correction of the image is carried out [14,15].…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Media resources in video information systems

Beknazarova,

Ishanxadjayeva,

Jaumitbaeva

2023

E3S Web of Conf.

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The article describes methods for increasing the contrast of images in video information systems, the main compression of the video stream is provided by eliminating inter-frame redundancy using methods for compensating the movement of image fragments of adjacent frames. However, the use of motion compensation methods requires the formation of additional data (metadata) containing information about the types of image blocks used, their movement coordinates, etc. At the same time, in order to increase the compression of the video stream without sacrificing its quality, a higher accuracy of motion compensation is required, which leads to an increase in the number of blocks and, accordingly, an increase in the volume of the video stream metadata that reduces the effectiveness of motion compensation. This is the main problem of compressing streaming video without compromising image quality. In addition, higher positioning accuracy of blocks with motion compensation dramatically reduces the speed of image processing, which is not always feasible in real-time systems.

show abstract