Powiadomienia systemowe
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In this paper we present the objective video quality metric based on mutual information and Human Visual System. The calculation of proposed metric consists of two stages. In the first stage of quality evaluation whole original and test sequence are pre-processed by the Human Visual System. In the second stage we calculate mutual information which has been utilized as the quality evaluation criteria. The mutual information was calculated between the frame from original sequence and the corresponding frame from test sequence. For this testing purpose we choose Foreman video at CIF resolution. To prove reliability of our metric were compared it with some commonly used objective methods for measuring the video quality. The results show that presented objective video quality metric based on mutual information and Human Visual System provides relevant results in comparison with results of other objective methods so it is suitable candidate for measuring the video quality.
Słowa kluczowe
Rocznik
Tom
Strony
145--152
Opis fizyczny
Bibliogr. 16 poz., wykr.
Twórcy
autor
autor
- Institute of Telecommunications, Slovak University of Technology, Ilkovicova 3, Bratislava, 812 19, Slovak Republic, mardiak@ktl.elf.stuba.sk
Bibliografia
- [1] A. B. Watson, J. Hu, and J. F. McGowan, “Dvq: A digital video quality metric based on human vision,” Electronic Imaging, 2001.
- [2] ITU-R, “Methodology for the subjective assessment of the quality of television pictures,” International Telecommunication Union - Radiocommunication Sector, Tech. Rep. BT.500-11, 2002.
- [3] J. L. Martnez, P. Cuenca, F. Delicado, and F. Quiles, “Objective video quality metrics: A performance analysis,” Sep. 2006.
- [4] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, 2004.
- [5] Y. Wang, “Survey of objective video quality measurements,” EMC Corporation, MA, Tech. Rep. WPI-CS-TR-06-02, 2006.
- [6] S. Winkler, Digital video quality vision model and metrics. Chichester: John Wiley & Sons Ltd., 2005.
- [7] F. Xiao, “Dct-based video quality evaluation,” Final Project for EE392J, Tech. Rep., 2000.
- [8] Y. Rubner, C. Tomasi, and L. J. Guibas, “The earth mover’s distance as a metric for image retrieval,” Int. J. Comput. Vision, vol. 40, pp. 99-121, November 2000. [Online]. Available: http://portal.acm.org/citation.cfm?id=365875.365881
- [9] S. Westen, R. Lagendijk, and J. Biemond, “Perceptual image quality based on a multiple channel hvs model,” Acoustics, Speech, and Signal Processing, IEEE International Conference on, vol. 4, pp. 2351-2354, 1995.
- [10] I. Avcibas, I. Avcba, B. Sankur, and K. Sayood, “Statistical evaluation of image quality measures,” Journal of Electronic Imaging, vol. 11, pp. 206-223, 2002.
- [11] R. Tiwari and A. Yardi, “Dental x-ray image enhancement based on human visual system and local image statistics.” in International Conference on Image Processing, Computer Vision, Pattern Recognition (IPCV), 2006, pp. 100-108.
- [12] K. Minoo and T. Nguyen, “A perceptual metric for blind measurement of blocking artifacts with applications in transform-block-based image and video coding,” 2008, pp. 3152-3155.
- [13] Z. Yu and H. R. Wu, “Human visual system based objective digital video quality metrics,” in Proceedings of the International Conference on Signal Processing of IFIP World Computer Conference, vol. 2, August 2000, pp. 1088-1095.
- [14] (2010) Full reference image and video quality assessment. Laboratory for Image & Video Engineering. [Online]. Available: http://live.ece.utexas.edu/research/quality/frqa.htm
- [15] R. Gray, Entropy and information theory. Springer-Verlag, 2009.
- [16] Z. Cernekova, “Temporal video segmentation and video summarization,” Ph.D. dissertation, Comenius Univ., Bratislava, 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0053-0020