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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2019, Issue 3, Pages 25–40
DOI: https://doi.org/10.14357/20718632190303
(Mi itvs351)
 

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.
Document Type: Article
Language: Russian
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
Citation in format AMSBIB
\Bibitem{Mag19}
\by S.~S.~Magazov
\paper Image recovery on defective pixels of a CMOS and CCD arrays
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2019
\issue 3
\pages 25--40
\mathnet{http://mi.mathnet.ru/itvs351}
\crossref{https://doi.org/10.14357/20718632190303}
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    Informatsionnye  Tekhnologii i Vychslitel'nye Sistemy
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