Sub-pixel Based Forming of High-Resolution Images

• Autorzy: Prudyus, I. , Tkachenko, V. , Lazko, L. , Fabirovskyy, S.

Warianty tytułu

PL

Formowanie obrazu wysokiej rozdzielczości przy przetwarzaniu subpikseli

• Języki publikacji: EN

Abstrakty

EN

The paper deals with considering the possibility of improving the image forming quality of the objects and scenes in remote sensing systems that works in visible range of waves. The analysis of the influence of the pixel shape aperture on the image formation quality and the ability to improve resolution by sub-pixel processing using inverse filtering and Tikhonov regularization, to enhance high spatial frequencies are conducted.

PL

W pracy rozważa się możliwość poprawy jakości obrazowania obiektów i scen z wykorzystaniem systemów zdalnego sondowanie Ziemi, które działają w widzialnym zakresie długości fal. Przeprowadzono analiza wpływu kształtu apertura piksela na jakość obrazu i zdolność do zwiększenia rozdzielczości przez subpikseli przetwarzanie z wykorzystanie filtracji odwrotnego oraz regularyzacji Tichonowa w celu wzmocnienia wysokich częstotliwości przestrzennych.

Słowa kluczowe

PL

subpiksel przetwarzania obrazu; problem odwrotny; superrozdzielczość; przywrócenie obrazu

EN

sub-pixel image processing; inverse problem; super-resolution; image restoration

• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2015
• Tom: R. 91, nr 7
• Strony: 45-48
• Opis fizyczny: Bibliogr. 14 poz., rys., tab., wykr.

Twórcy

autor

Prudyus, I.

• Lviv Polytechnic National University, Electronic Devices and Systems Department, Profesorska Street 2, Lviv, 79013 Ukraine

autor

Tkachenko, V.

• Lviv Polytechnic National University, Electronic Devices and Systems Department, Profesorska Street 2, Lviv, 79013 Ukraine

autor

Lazko, L.

• Lviv Polytechnic National University, Electronic Devices and Systems Department, Profesorska Street 2, Lviv, 79013 Ukraine

autor

Fabirovskyy, S.

• Lviv Polytechnic National University, Electronic Devices and Systems Department, Profesorska Street 2, Lviv, 79013 Ukraine

Bibliografia

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• [2] Zakaznov N.P., Applied optics, Moscow: Mechanical engineering, (1988), 312.
• [3] Born M., Wolf E. Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light, Cambridge University Press, (1999), 987.
• [4] Wang Hu, Wen Desheng, The progress of sub-pixel imaging methods, Proceedings of the SPIE, Volume 9142, id. 91420K 5 pp. (2014).
• [5] Prudyus I., Tkachenko V., Kondratov P., Lazko L., Fabirovskyy S., Spectral based approach to subpixel image formation, Computational Problems of Electrical Engineering, Lviv : Publishing House of Lviv Polytechnic National University, Volume 3, number 1, (2013), 87-92.
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• [7] Veslov Yu.G., Danilin A.A., Tihonychev V.V., Selection of the test object to assess the resolution of the digital opto-electronic systems for monitoring the Earth's surface [Electronic resource], «Science and education», (2012), mode of access: http:// technomag.bmstu.ru/file/out/505246.
• [8] Handbook of Classical Photography, mode of access: http://fotoatelier.ru/m/804-mira.html
• [9] Peleshko D., Makoveichuk O., Kliuvak A., Elimination of dynamic partial distortion for playback of images based on integraldifferential approach, Visnyk Nats. un-tu “Lvivska politekhnika”: Kompiuterni nauky ta informatsiini tekhnolohii, No. 751, (2013) 320-333.
• [10] Raggam H., Franke М., Ofner М., Gutjahr K., Accuracy Assessment of Vegetation Height Mapping Using Spaceborne Ikonos as well as Aerial UltraCam Stereo Images, Proc. EARSel Workshop 3D Remote Sensing Systems, Porto, Portugal, (2005), 6-11.
• [11] Hua Yan, Ju Liu, Super-Resolution Image Restoration Considering Sub-pixel Registration Error, Acta Electronic Sinica, Vol.35, No.4, (2007), 6-9.
• [12] Inglada J., Muron V., Pichard D., Feuvrier T., Analysis of artifacts in subpixel remote sensing image registration, IEEE Transactions on Geoscience and Remote Sensing, 45 (2007), 254-264.
• [13] Liu H. Y., Zhang Y. S., Song J. I., Study on the Methods of Super Resolution Image Reconstruction, The International Archives of the Photognanmetry, Remote Sensing and Spatial Information Science, Vol. XXVII, Part B2, Beijing, (2008), 461-466.
• [14] Ju Liu, Hua Yan, Jiande Sun, Regularization Super-Resolution with Inaccurate Image Registration, IEICE Transactions on Information & System, (2009), 59-68.