Digital images processing: filtering by pulse characteristic

S. S. Beknazarova D.D.S.; O. X. Talipova Sr.; K. A. Ibragimova

doi:10.1117/12.2631511

17 May 2022 Digital images processing: filtering by pulse characteristic

S. S. Beknazarova D.D.S., O. X. Talipova Sr., K. A. Ibragimova

Proceedings Volume 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021); 122510A (2022) https://doi.org/10.1117/12.2631511
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 2021, Dushanbe, Tajikistan

Abstract

In the world, scientific research is being conducted to improve the quality level of digital television images, methods for modeling filtration processes and highly efficient control systems in a number of priority areas, including: on the formation of mathematical models of filtration processes, improving the methods of wavelet, Fourier, Haar, Walsh -Hadamard, Karhunen -Loev in increasing the clarity and brightness of images based on linear and nonlinear differential equations; creation of methods for eliminating additive, pulsed and adaptive-Gaussian types of noise in images using additive and adaptive filtering; methods of algorithms and software for introducing intra-frame and inter-frame image transformations; methods of adaptive brightness system control using the Chebyshev matrix series; methods of gradient, static and Laplace methods for image segmentation and dividing it into contours; formation of criteria and conditions for evaluating image quality. Conducting scientific research in the above research areas confirms the relevance of the topic of this article.

Citation Download Citation

S. S. Beknazarova D.D.S., O. X. Talipova Sr., and K. A. Ibragimova "Digital images processing: filtering by pulse characteristic", Proc. SPIE 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 122510A (17 May 2022); https://doi.org/10.1117/12.2631511

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