Geodesic
Image recovery on defective pixels of a CMOS and CCD arrays
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2019), pp. 25-40

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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. 
@article{ITVS_2019_3_a2,
     author = {S. S. Magazov},
     title = {Image recovery on defective pixels of a {CMOS} and {CCD} arrays},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {25--40},
     publisher = {mathdoc},
     number = {3},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2019_3_a2/}
}
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S. S. Magazov. Image recovery on defective pixels of a CMOS and CCD arrays. Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2019), pp. 25-40. http://geodesic.mathdoc.fr/item/ITVS_2019_3_a2/