RUS  ENG
Full version
JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2019 Issue 3, Pages 25–40 (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.

DOI: 10.14357/20718632190303



© Steklov Math. Inst. of RAS, 2024