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Pisma v Zhurnal Tekhnicheskoi Fiziki, 2016, Volume 42, Issue 2, Pages 50–56
(Mi pjtf6533)
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This article is cited in 3 scientific papers (total in 3 papers)
Wavelet filtration of noisy images
A. S. Yaseenab, O. N. Pavlovaa, A. N. Pavlovac a Saratov State University
b University of Technology, Baghdad, Iraq
c Saratov Branch, Kotel'nikov Institute of Radio-Engineering and Electronics, Russian Academy of Sciences
Abstract:
Methods of noisy image filtration using wavelet transforms with real and complex basis sets have been compared. It is shown that the use of a complex wavelet transform provides more effective filtration and admits automatic optimization of the filter parameters. Optimized choice of the threshold level during filtration based on a complex wavelet transform significantly decreases the error of image reconstruction as compared to that achieved with a standard method of discrete wavelet transform employing basis sets of the Daubechies wavelet family.
Keywords:
Discrete Wavelet Transform, Technical Physic Letter, Wavelet Coefficient, Noisy Image, Wavelet Filtration.
Received: 27.05.2015
Citation:
A. S. Yaseen, O. N. Pavlova, A. N. Pavlov, “Wavelet filtration of noisy images”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:2 (2016), 50–56; Tech. Phys. Lett., 42:1 (2016), 82–84
Linking options:
https://www.mathnet.ru/eng/pjtf6533 https://www.mathnet.ru/eng/pjtf/v42/i2/p50
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Abstract page: | 75 | Full-text PDF : | 54 |
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