Eurasian Physical Technical Journal. 2019; 16: 5-10
PROCESSING BY ROBUST CEPSTRAL FRACTAL - TOPOLOGICAL METHODS OF FLOWS OF OPTICAL TEXTURE IMAGES OF THE MARTIAN SURFACE
https://doi.org/10.31489/2019No2/5-10Аннотация
The paper presents the results of applying digital image processing methods to improve their quality and intelligibility. The method is used to process images of Martian craters made by the famous American satellites Mariner and Viking. Visual analysis of processed images allows highlighting new previously unknown details. Pictures are taken from the Internet. The developed methods are suitable for processing multichannel signals with a sensor array.
Список литературы
1. Pratt U. Digital image processing. Moscow, Mir, 1982. Book 1. – 312 p.; Book 2. – 480 p.
2. Troitskiy I.N., Ustinov N.D. Statistical theory of holography. Moscow, Radio i svyaz, 1981, 327 p. [in Russian]
3. Hayes M.H. Reconstructing of multi dimensional sequence only from amplitude or phase Fourierspectrum. IEEE Trans. Acoustic. Speech, Signal, Proc. 1982, Vol. 30, No. 3, pp. 140 – 152.
4. Vasilenko G.I., Taratorin A.M. Image restoration. Moscow, Radio i svyaz. 1986, 304 p. [in Russian]
5. Potapov A.A., Gulyaeyev Yu.V., Nikitov S.A., Pakhomov A.A., German V.A. The latest image processing methods. Moscow, FISMATLIT, 2008, 496 p. [in Russian]
6. Potapov A.A. Fractals in radio-physics and radiolocation. Moscow, Logos, 2002, 664 p. [in Russian]
7. Professor Alexander Alekseyevich Potapov. Ed. by Acad. Yu. Gulyaeyev. Moscow, 2019, 256p. [in Russian]
Eurasian Physical Technical Journal. 2019; 16: 5-10
PROCESSING BY ROBUST CEPSTRAL FRACTAL - TOPOLOGICAL METHODS OF FLOWS OF OPTICAL TEXTURE IMAGES OF THE MARTIAN SURFACE
Potapov A. A., Pakhomov A. A., Potapov A. A., Potapov V. A.
https://doi.org/10.31489/2019No2/5-10Abstract
The paper presents the results of applying digital image processing methods to improve their quality and intelligibility. The method is used to process images of Martian craters made by the famous American satellites Mariner and Viking. Visual analysis of processed images allows highlighting new previously unknown details. Pictures are taken from the Internet. The developed methods are suitable for processing multichannel signals with a sensor array.
References
1. Pratt U. Digital image processing. Moscow, Mir, 1982. Book 1. – 312 p.; Book 2. – 480 p.
2. Troitskiy I.N., Ustinov N.D. Statistical theory of holography. Moscow, Radio i svyaz, 1981, 327 p. [in Russian]
3. Hayes M.H. Reconstructing of multi dimensional sequence only from amplitude or phase Fourierspectrum. IEEE Trans. Acoustic. Speech, Signal, Proc. 1982, Vol. 30, No. 3, pp. 140 – 152.
4. Vasilenko G.I., Taratorin A.M. Image restoration. Moscow, Radio i svyaz. 1986, 304 p. [in Russian]
5. Potapov A.A., Gulyaeyev Yu.V., Nikitov S.A., Pakhomov A.A., German V.A. The latest image processing methods. Moscow, FISMATLIT, 2008, 496 p. [in Russian]
6. Potapov A.A. Fractals in radio-physics and radiolocation. Moscow, Logos, 2002, 664 p. [in Russian]
7. Professor Alexander Alekseyevich Potapov. Ed. by Acad. Yu. Gulyaeyev. Moscow, 2019, 256p. [in Russian]
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