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1Academic Journal
Συγγραφείς: V. V. Starovoitov, F. V. Starovoitov, В. В. Старовойтов, Ф. В. Старовойтов
Πηγή: «System analysis and applied information science»; № 1 (2017); 24-32 ; Системный анализ и прикладная информатика; № 1 (2017); 24-32 ; 2414-0481 ; 2309-4923 ; 10.21122/2309-4923-2017-1
Θεματικοί όροι: фокусное расстояние, no-reference measure, gamma-correction, contrast, retouched image, focal length, NR-мера, гамма-коррекция, контраст, отретушированное изображение
Περιγραφή αρχείου: application/pdf
Relation: https://sapi.bntu.by/jour/article/view/146/115; Старовойтов, В. В. Локальные геометрические методы цифровой обработки и анализа изображений. – Минск: Ин-т техн. кибернетики НАН Беларуси, 1997. Starovoitov, V. V. Lokal’nye geometricheskie metody cifrovoj obrabotki i analiza izobrazhenij. – Minsk: In-t tehn. kibernetiki NAN Belarusi, 1997.; Caviedes, J. et al. Impairment metrics for digital video and their role in objective quality assessment // Visual Communications and Image Processing, Perth, Australia, 30 May 2000. – P. 791–800.; Lin, W., Kuo, C. C. J. Perceptual visual quality metrics: A survey //Journal of Visual Communication and Image Representation, 2011. – Vol. 22. – №. 4. – P. 297–312.; Mittal, A., Moorthy, A. K., Bovik, A. C. No-reference image quality assessment in the spatial domain // IEEE Transactions on Image Processing. – 2012. – Vol. 21. – №. 12. – P. 4695–4708.; Chandler, D. M. Seven challenges in image quality assessment: past, present, and future research // ISRN Signal Processing. – 2013. – Vol. 2013, 53 p.; Manap, R. A. Shao L. Non-distortion-specific no-reference image quality assessment: A survey // Information Sciences, 2015. – Vol. 301. – P. 141–160.; Pertuz, S., Puig, D., Garcia, M. A. Analysis of focus measure operators for shape-from-focus // Pattern Recognition, 2013. – Vol. 46. – № 5. – P. 1415–1432.; Crete, F. et al. The blur effect: perception and estimation with a new no-reference perceptual blur metric // Proc. on Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 28, 2007, Vol. 6492. – P. 64920I-1-64920I-11.; Zhu, X., Milanfar, P. Automatic parameter selection for denoising algorithms using a no-reference measure of image content // IEEE transactions on image processing, 2010. – Т. 19. – № 12. – С. 3116–3132.; Vu, C. T., Phan, T. D., Chandler, D. M. A spectral and spatial measure of local perceived sharpness in natural images // IEEE transactions on image processing, 2012.– Vol. 21.– №3.– P. 934–945.; Gabarda, S., Cristуbal, B. Blind Image quality assessment through anisotropy // Journal of the Optical Society of America, 2007. – Vol. 24. – № 12. – P. 42–51.; Zhang, C. J. et al. Approach to enhance contrast of infrared image based on wavelet transform // Hongwai yu Haomibo Xuebao / Journal of Infrared and Millimeter Waves (China). – 2004. – Vol. 23. – №. 2. – P. 119–124.; Wang, Z. et al. Image quality assessment: from error visibility to structural similarity // IEEE transactions on image processing, 2004. – Vol. 13. – № 4. – P. 600–612.; База стандартных тестовых изображений: Signal and Image Processing Institute, University of Southern California, CA. – Режим доступа: http://sipi.usc.edu/database/database.php?volume=misc,44images.tiff. – Дата доступа: 10.02.2017.; Интернет-редактор изображений «Ретушь лица». – Режим доступа: http://makeup.pho.to/ru/. – Дата доступа: 10.02.2017.; https://sapi.bntu.by/jour/article/view/146