Parameters that affect the perception quality of visual data has been investigated. Evaluation of such parameters due to distortion during filtering was determined. Segmentation methods according to colour and brightness similarity were discussed. Perceptive model for contrast sensitivity influence evaluation was discussed. The image region detection method for watermarking is suggested.
цифровые водяные знаки, сегментация изображений, digital watermarks, image segmentation
1. Razumov E.Yu. Tehnologiya raskroya kombinirovannogo pilovochnika / E.Yu. Razumov, E.V. Mikryukova // Vestnik Kazan. tehn. un-ta.- 2012.№15.- S.250-252.
2. Budnikova I.K. Modelirovanie pokazateley kachestva tehnologicheskogo processa s primeneniem paketa STATISTICA / I.K. Budnikova, E.V. Priymak // Vestnik Kazan.tehn. un-ta. -2012.№15.- S. 247-250.
3. V.G. Gribunin, I.N. Okov, I.V. Turincev, Cifrovaya steganografiya, SOLON-Press, Moskva, 2002,261 s.
4. T. S. Huang, PCM picture transmission. IEEE Spectrum, 2, 12, 57-63, (1965)
5. R. Gonsales, R. Vuds, Cifrovaya obrabotka izobrazheniy, Tehnosfera, Moskva, 2006, 1070 s.
6. U. Prett, Cifrovaya obrabotka izobrazheniy, Kn.1, Mir, Moskva, 1982, 312 s.
7. L.G. Shapiro, G.C. Stockman, Computer Vision, Prentice Hall, New Jersey, 2001, 608 p.
