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Software systems and computational methods
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Bondarenko M.A., Drynkin V.N. Evaluation of composite image information value in multispectral vision systems

Abstract: The subject of the research is the algorithms for evaluating the information value of composite images. Composite images are formed by multispectral vision systems including multispectral enhanced vision systems used in aviation. These systems show the external space for pilots even in bad weather conditions or late at night, thus increasing operational capacities of aerial vehicles. These systems combine information incoming from physically different sensors into one composite image that is supposed to have essential information features coming from all combined video channels. The research is b ased on the computer modeling of image combination in the two-zone TV-thermal enhanced vision system using the actual images made by the visual sensors. The authors offer a new structural-semantic qualitative evaluation of the information value of composite images based on the preservation (distortion) of various information depending on their spectral energy and space characteristics. Based on the aforesaid method of evaluating the information value, the authors compare different methods of combination of images for the two-zone enhanced vision systems.

Keywords:

image analysis, evaluation of the information value, information value of images, visual perception, composite images, combination of images, human-machine interfaces, computer vision systems, multispectral system, enhanced vision systems

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References
1. Drynkin V.N., Fal'kov E.Ya., Tsareva T.I. Formirovanie kombinirovannogo izobrazheniya v dvukhzonal'noi bortovoi aviatsionno-kosmicheskoi sisteme [Tekst] // Sbornik trudov nauchno-tekhnicheskoi konferentsii «Tekhnicheskoe zrenie v sistemakh upravleniya – 2012» / Pod red. R.R. Nazirova. M.: Mekhanika, upravlenie i informatika, 2012. S. 33–39. URL: http://www.iki.rssi.ru/books/2012_2tz.pdf (data obrashcheniya: 13.02.2016).
2. Cvejic N., Łoza A., Bull D. and Canagarajah N. A Novel Metric for Performance Evaluation of Image Fusion Algorithms [Text] // World Academy of Science, Engineering and Technology. International Journal of Computer, Electrical, Automation, Control and Information Engineering. 2007. Vol. 1. No. 7. R. 2195–2200. URL: waset.org/publications/8392/a-novel-metric-for-performance-evaluation-ofimage-fusion-algorithms (data obrashcheniya: 13.02.2016).
3. Smagin M.S. Razrabotka metodiki sinteza struktury vychislitel'nykh ustroistv sliyaniya izobrazhenii: avtoref. diss … kand. tekhnicheskikh nauk: 05.13.05 [Tekst]. M., 2008. 24 s. URL: http://www.ineum.ru/files/51063c/d66487/1a9b7c/000000/aref9.pdf (data obrashcheniya: 14.02.2016).
4. E2VS Displays Potential as Breakthrough Product [Electronic resource] //Aviation week network, October 2015. URL: http://aviationweek.com/nbaa-2015/e2vs-displays-potential-breakthrough-product (data obrashcheniya: 14.02.2016).
5. Sadovnichii V.A. Kosmicheskoe zemlevedenie: informatsionno-matematicheskie osnovy [Tekst] / Kozoderov V.V., Kosolapov V.S., Sadovnichii V.A. i dr. / red. Sadovnichii V.A. M.: MGU, 1998. 576 s.
6. Sagdullaev T.Yu., Sagdullaev Yu.S. Informativnost' televizionnykh izobrazhenii v sistemakh videonablyudeniya ob''ektov [Tekst] // Voprosy radioelektroniki. Ser. «Tekhnika televideniya». 2009. Vyp. 2. S. 41–51.
7. Rubis A.Yu., Vizil'ter Yu.V., Gorbatsevich V.S., Vygolov O.V. Algoritm kompleksirovaniya izobrazhenii na osnove diffuznoi morfologii [Tekst] // Sbornik tezisov nauchno-tekhnicheskoi konferentsii «Tekhnicheskoe zrenie v sistemakh upravleniya – 2015». M.: IKI RAN, 2015. S. 112–113. URL: http://tvcs2015.technicalvision.ru/docs/Sbornik_tezisov_TZSU_2015.pdf (data obrashcheniya: 14.02.2016).
8. Podkhody k izmereniyu informatsii [Elektronnyi resurs]. URL: http://informatika.sch880.ru/p18aa1.html (data obrashcheniya: 13.02.2016).
9. Rubis A.Yu., Vygolov O.V., Vizil'ter Yu.V. Morfologicheskoe kompleksirovanie izobrazhenii razlichnykh spektral'nykh diapazonov [Tekst] // Sbornik trudov nauchno-tekhnicheskoi konferentsii «Tekhnicheskoe zrenie v sistemakh upravleniya – 2011» / Pod red. R. R. Nazirova. M.: Mekhanika, upravlenie i informatika, 2012. S. 143–148. URL: http://www.iki.rssi.ru/books/2012tz.pdf (data obrashcheniya: 14.02.2016).
10. Metody nakhozhdeniya granits izobrazheniya [Elektronnyi resurs]. URL: habrahabr.ru/post/128753/ (data obrashcheniya: 07.02.2015).
11. Mikheev S.M. Kompleksirovanie izobrazhenii raznykh diapazonov spektra v mnogokanal'nykh sistemakh nablyudeniya: avtoref. diss … kand. tekhnicheskikh nauk: 05.13.01, 05.11.16 [Tekst]. M., 2011. 24 s. URL: http://tekhnosfera.com/view/364392/a#?page=1 (data obrashcheniya 11.03.2016).
12. Kostyashkin L.N., Babaev S.I., Loginov A.A., Pavlov O.V. Tekhnologii sistem uluchshennogo/sintezirovannogo zreniya dlya upravleniya letatel'nymi apparatami [Tekst] // Trudy nauchno-tekhnicheskoi konferentsii-seminara «Tekhnicheskoe zrenie v sistemakh upravleniya mobil'nymi ob''ektami – 2010» / Pod red. R.R. Nazirova. Vyp. 4. M.: KDU, 2011. S. 45–56.
13. Izmerenie informatsii. Entropiya [Elektronnyi resurs]. URL: http://spargalki.ru/priborostroenie/35-obrabotka-signalov.html?start=9 (data obrashcheniya: 13.02.2016).
14. Insarov V.V. Problemy postroeniya sistem tekhnicheskogo zreniya, ispol'zuyushchikh kompleksirovanie informatsionnykh kanalov razlichnykh spektral'nykh diapazonov [Tekst] // Prilozhenie k zhurnalu «Informatsionnye tekhnologii». 2014. ¹ 3 / V.V. Insarov, S.V. Tikhonova, I.I. Mikhailov. M.: Novye tekhnologii, 2014. 32 s.
15. Bronevich A.G., Goncharov A.V. Aksiomaticheskii podkhod k izmereniyu informativnosti znakovykh predstavlenii izobrazhenii [Tekst] // Izvestiya RAN. Teoriya i sistemy upravleniya. 2011. ¹ 1. S. 54–69.
16. Guangxin L. Image Fusion Based on Color Transfer Technique [Electronic resource. 2011– ]. URL: http://www.intechopen.com/books/image-fusion-and-its-applications/image-fusion-based-on-color-transfer-technique (data obrashcheniya: 14.02.2016).
17. Piella G. and Heijmans H. A new quality metric for image fusion, Proceeding of the IEEE International Conference in Image Processing [Text] // ICIP–2003. Vol. 3. R. 173–176.
18. Wang Z. and Bovik A. C. A universal image quality index [Text] // IEEE Signal Processing Letters. 2002. Vol. 9. No. 3. R. 81–84.
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