How realistic is photorealistic?

IEEE Transactions on Signal Processing

Volumn 53, Issue 2 II, 2005, Pages 845-850

  Lyu, Siwei ^a   Farid, Hany ^a  

^a Dartmouth Department of Computer Science_Dartmouth College   (United States)

Author keywords

Digital forensics; Image statistics; Photorealism

Indexed keywords

COMPUTER GRAPHICS; COMPUTER SOFTWARE; DIFFERENTIAL EQUATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; STATISTICAL METHODS;

DIGITAL FORENSICS; IMAGE STATISTICS; PHOTOGRAPHIC IMAGE; PHOTOREALISM; PHOTOREALISTIC IMAGE;

IMAGE ANALYSIS;

EID: 13244253845     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2004.839896     Document Type: Article

References (18)

1. V. Athitsos, M. J. Swain, and C. Frankel, "Distinguishing photographs and graphics on the world wide web," in Proc. Workshop Content-Based Access Image Video Libraries, San Juan, PR, 1997.
2. R. W. Buccigrossi and E. P. Simoncelli, "Image compression via joint statistical characterization in the wavelet domain," IEEE Trans. Image Processing, vol. 8, no. 12, pp. 1688-1701, Dec. 1999.
3. C.-C. Chang and C.-J. Lin, LIBSVM: A Library for Support Vector Machines, 2001.
4. F. Cutzu, R. Hammoud, and A. Leykin, "Estimating the degree of photorealism of images: Distinguishing paintings from photographs," in Proc. IEEE Conf. Computer Vision Pattern Recognition, Madison, WI, 2003.
5. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
6. J. Gluckman, "On the use of marginal statistics of subband images," in Proc. IEEE Int. Conf. Computer Vision, Nice, France, 2003.
7. S. Lyu and H. Farid, "Detecting hidden messages using higher-order statistics and support vector machines," in Proc. 5th Int. Workshop Information Hiding, Noordwijkerhout, The Netherlands, 2002.
8. S. Lyu and H. Farid, "Steganalysis using color wavelet statistics and one-class support vector machines," in Proc. SPIE Symp. Electronic Imaging, San Jose, CA, 2004.
9. A. McNamara, "Evaluating realism," in Proc. Perceptually Adaptive Graphics-ACM SIGGRAPH and Eurographics Campfire, Snowbird, UT, May 2001.
10. G. W. Meyer, H. E. Rushmeier, M. F. Cohen, D. P. Greenberg, and K. E. Torrance, "An experimental evaluation of computer graphics imagery," ACM Trans. Graphics, vol. 5, no. 1, pp. 30-50, 1986.
11. P. M. Rademacher, Measuring the Perceived Visual Realism of Images Chapel Hill, NC: Univ. North Carlina, 2002.
12. E. P. Simoncelli and E. H. Adelson, Subband Image Coding, J. W. Woods, Ed. Norwell, MA: Kluwer, 1990, ch. Subband transforms, pp. 143-192.
13. M. Szummer and R. W. Picard, "Indoor-outdoor image classification" in Proc. IEEE Int. Workshop Content-Based Access Image Video Databases, in Conjunction with ICCV,Bombay, India, 1998, pp. 42-51.
14. A. Torralba and A. Oliva, "Semantic organization of scenes using discriminant structural templates," in Proc. Int. Conf. Computer Vision, Korfu, Greece, 1999.
15. P. P. Vaidyanathan, "Quadrature mirror filter banks, M-band extensions and perfect reconstruction techniques," IEEE Acoust., Speech, Signal Process. Mag.., vol. 4, no. 3, pp. 4-20, Jul. 1987.
16. A. Vailaya, A. K. Jain, and H.-J. Zhang, "On image classification: City vs. landscapes," Int. J. Pattern Recognit., no. 31, pp. 1921-1936, 1998.
17. V. Vapnik, The Nature of Statistical Learning Theory. New York: Spring-Verlag, 1995.
18. M. Vetterli, "A theory of multirate filter banks," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, no. 3, pp. 356-372, Mar. 1987.