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IMAGE PROCESSING METHODS
Image recovery on defective pixels of a CMOS and CCD arrays
S. S. Magazov MGTU H.E. Bauman, Russia
Abstract:
The article investigates the problem of restoring a raster image on defective areas of CCD or CMOS matrices. The task of image restoration is divided into subtasks: restoration of contours and texture restoration. These problems are solved by a special image recovery machine, which uses image classification methods adapted to the task, a neural network, and image recovery methods. An original method of image restoration in the video series is proposed. The analysis of the computational complexity of the methods is fulfilled.
Keywords:
texture generation, discrete function approximation, image statistics, Haralik and Laws parameters, Gabor filter, neural networks.
Citation:
S. S. Magazov, “Image recovery on defective pixels of a CMOS and CCD arrays”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2019, no. 3, 25–40
Linking options:
https://www.mathnet.ru/eng/itvs351 https://www.mathnet.ru/eng/itvs/y2019/i3/p25
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Abstract page: | 119 | Full-text PDF : | 260 | References: | 1 |
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