УДК: 004.932.4
Method of interchannel compensation of pulse noise in problems of the restoration of multicomponent digital images
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Самойлин Е.А., Шипко В.В. Метод межканальной компенсации импульсных помех в задачах восстановления многокомпонентных цифровых изображений // Оптический журнал. 2013. Т. 80. № 10. С. 53–59.
Samoĭlin E. A.., Shipko, V. V. Method of interchannel compensation of pulse noise in problems of the restoration of multicomponent digital images [in Russian] // Opticheskii Zhurnal. 2013. V. 80. № 10. P. 53–59.
A method is proposed for the restoration of multicomponent digital images, based on preliminary adaptive detection of pulse noise, followed by compensation, using the property of interchannel redundancy. The proposed method has been numerically investigated in a wide intensity range of pulse noise, the results of which show that the accuracy of the restoration of three-component (color) images has been increased. Examples are given of image restoration, using previously known processing methods and the proposed method.
digital image processing, pulse interference, inter-channel compensation, multicomponent images
References:1. R. C. Gonzalez and R. E. Woods, Digital Image Processing (Prentice Hall, Upper Saddle River, N.J., 2002; Tekhnosfera, Moscow,
2005).
2T. S. Huang, J. O. Eklundh, H. J. Nussbaumer, S. Zohar, B. I. Justusson, and S. G. Tyan, Fast Algorithms in Digital Image Processing (Radio i Svyaz’,
Moscow, 1984).
3E. A. Samoı˘lin, “Spatially selective image filtering,” Izv. Vyssh. Uchebn. Zaved. Prib. 49, No. 12, 7 (2006).
4E. A. Samoı˘lin, “Algorithms for estimating the pulse noise in problems of digital filtering of optical images,” Opt. Zh. 73, No. 12, 42 (2006) [J. Opt.
Technol. 73, 859 (2006)].
5E. A. Samoı˘lin, “Algorithms for reconstructing digital optical images distorted by pulse noise,” Opt. Zh. 74, No. 9, 50 (2007) [J. Opt. Technol.
74, 617 (2007)].
6E. A. Samoı˘lin, “Numerical methods of analyzing the efficiency of imagefiltering procedures,” Matemat. Modelir. 20, No. 2, 113 (2008).