A mathematical model of fluctuation noise based on the wavelet transform

Lobanov, Ivan D.; Denisov, A. V.

doi:10.1016/j.spjpm.2016.03.002

Cited by 2 publications

(8 citation statements)

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“…However, the Haar wavelet is not very suitable for compressing audio signals, because it does not provide a high degree of compression of the ZS, since when a large number of conversion coefficients are discarded, distortions occur in the form of extraneous noise, crackling and rumbling. To eliminate this disadvantage, higher-order wavelets can be used, for example, Daubeshi-4th order, having 4 coefficients and Daubeshi-10, having 10 coefficients [4,14]. Moreover, the functions of higher-order wavelets have a more "smooth" shape, due to which the compression ratio can be increased while maintaining the sound quality.…”

Section: Discussionmentioning

confidence: 99%

“…During preprocessing, an image analysis is performed that determines various statistical characteristics of the image, such as mathematical expectation and standard deviation of brightness, contrast, construction of a histogram of brightness and contrast, selection of the most suitable model and parameters of digital noise [4]. At the stage of preprocessing, low-frequency filtering is performed, which removes digital noise in the image [5].…”

Section: Methodsmentioning

confidence: 99%

“…Gridin [1][2][3][4][5][6][7][8], V.Yu. Visilter [4], A.L. Priorov [3][4]9], as well as by L. Shapiro [5][6][7], R. Gonzalez [1][2][3][4][5][6][7], R. Woods [17], G. Finlayson [7][8], C. Wöhler [10], R. Szeliski [6], D. Maier [5,8].…”

Section: Introductionmentioning

confidence: 99%

“…Such systems use the visible part of the electromagnetic spectrum, which is convenient for practical use [2][3]. To date, applied television systems are widely used to perform various kinds of measurement work: diagnostics of the road network [1][2]; detection of pedestrians [2]; detection of obstacles on the runway [2][3][4][5][6]; collision prevention on railways [2][3][4][5][6][7][8]; detection of obstacles in front of a mobile ground object [1][2][3][4][5]. All the listed systems using the methods of applied television to perform their task analyze a specific type of obstacle, without solving the problem in the general case.…”

Section: Introductionmentioning

confidence: 99%

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Methods of increasing the contrast of images in video information systems

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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: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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)

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

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.

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A mathematical model of fluctuation noise based on the wavelet transform

Cited by 2 publications

References 0 publications

Methods of increasing the contrast of images in video information systems

Methods of increasing the contrast of images in video information systems

Media resources in video information systems

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