Moving rank transformations of airspace images with pixel classification by object characteristics

1Vorobel, RA
1Karpenko Physico-Mechanical Institute of the National Academy of Science of Ukraine, Lviv, Ukraine
Kosm. nauka tehnol. 1998, 4 ;(4):97–102
https://doi.org/10.15407/knit1998.04.097
Section: Space Materials and Technologies
Publication Language: Ukrainian
Abstract: 
We analyses the use of moving rank transformations for local contrast enhancement of images. Weighted moving rank transformation are shown to need an exactly determined contrast of pixels. We propose a generalized linear f-equalization based on the weighted moving rank transformations with pixel classification by object characteristics. The equalization provides an efficient control over the enhancement of local contrasts of images
Keywords: image processing
References: 
1. Lysenko Yu. A., Elmanov S. A. Ustrojstvo dlja preobrazovanija izobrazhenij ob#ektov:   A. s. 1672490 SSSR, MPK G06K 9/36; Zajavl. 10.05.89; published 23.08.91, Bull. No. 31 [in Russian].
2. Belikova T. P., Kronrod M. A., Chochia P. A., Iaroslavskii L. P. Numerical analysis of photographs of the Martian surface transmitted by Mars-4 and Mars-5. Kosmicheskie Issledovaniia, 13 (6), 898-906 (1975) [In Russian].
3. Belikova T. P., Yaroslavsky L. P. Ispol'zovanie adaptivnyh amplitudnyh preobrazovanij dlja preparirovanija izobrazhenij. Vopr. Radioelektron. Ser. Obshchetekh., Is. 14, 88-98 (1974) [In Russian].
4. Vorobel R. A. Kovzne peretvorennja zobrazhen' z klasyfikacijeju elementiv za kontrastnistju ob'jektiv. In: Avtomatyka-95: Druga Ukr. konf. z avtomatychnogo keruvannja, 26-30 veresnja 1995 r.: Praci, Vol. 3, 95-98 (NTC ITIS, Lviv, 1995) [in Ukrainian].
5. Vorobel R. A. Skol'zjashhie vzveshennye rangovye preobrazovanija izobrazhenij. Problemy upravlenija i informatiki, No.2, 65-74 (1997) [In Russian].
6. Vorobel R. A. Jadra vyznachennja kontrastu elementiv zobrazhennja. In:  Vidbir i obrobka informacii', Is. 11 (87), 96-100 (1997) [in Ukrainian].
7. Vorobel R. A. Liner description of image elements contrast. Reports of the Ukrainian Academy of Sciences, No. 1, 127-131 (1998) [In Ukrainian].
8. Vorobel R. A., Opyr N. V., Popov B. O. Some methods for image processing in problems of x-ray diffraction test of product quality. Fiz.-him. meh. materialiv, No. 5, 93-98 (1997) [In Ukrainian].
9. Kim V., Yaroslavskii L. Rangovye algoritmy obrabotki izobrazhenij, 40 p. (Rukopis' dep. v VINITI 30.05.85, 49 3793-85 Dep.) (Moscow, 1985) [In Russian].
10. Ochin E. F. Vychislitel'nye sistemy obrabotki izobrazhenij, 136 p. (Jenergoatomizdat, Leningrad, 1989) [In Russian].
11. Chochia P. A. Metody uluchshenija ajerokosmicheskih izobrazhenij, ispol'zujushhie gistogrammu po fragmentu. Issled. Zemli iz kosmosa, No. 6, 66—72 (1985) [in Russian].
12. Yaroslavsky L. P. Digital Signal Processing in Optics and Holography. Introduction to Digital Optics, 296 p. (Radio i Sviaz', Moscow, 1987) [in Russian].
13. Chochia P. A. Image enhancement using sliding histograms. Comput. vision, graphics and image processing, 44 (2), 211-229 (1988).
https://doi.org/10.1016/S0734-189X(88)80006-9
14. Hall E. L. Almost uniform distribution for computer image enhancement. IEEE Trans. Comput., C-23, No. 2, 207-208 (1974).
https://doi.org/10.1109/T-C.1974.223892
15. Ketcham D. J. Real time image enhancement technique. Pacif. Grove, 74 (2), 120-125 (Proceeding SPIE/OSA conference on image processing) (1976).
16. Kim V., Yaroslavskii L. Rank algorithms for picture recessing. Comput. vision, graphics and image processing, 35 (2), 234-258 (1986).
https://doi.org/10.1016/0734-189X(86)90029-0
17. Pratt W. Digital image processing, 480 p. (Wiley, New York, 1978).

18. Preston K. Jr., Duff M. J. B., Levialdi S., Norgen P. E., Toriwaki J.-I. Basic of cellular logic with some applications in medical image processing. Proc. IEEE, 67 (5), 826-856 (1979).
https://doi.org/10.1109/PROC.1979.11331