Hallucinating face in the DCT domain

IEEE Transactions on Image Processing

Volumn 20, Issue 10, 2011, Pages 2769-2779

  Zhang, Wei ^a   Cham, Wai Kuen ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Discrete cosine transform (DCT); face hallucination; super resolution

Indexed keywords

AC COEFFICIENTS; DC COEFFICIENT; DCT COEFFICIENTS; DCT DOMAIN; FACE HALLUCINATION; FACE IMAGES; FREQUENCY DOMAINS; HALLUCINATING FACES; HIGH QUALITY; HIGH RESOLUTION; INFERENCE MODELS; LOCAL FEATURE; PIXEL INTENSITIES; SPATIAL DOMAINS; SUPER RESOLUTION;

INTERPOLATION;

DISCRETE COSINE TRANSFORMS;

ALGORITHM; ARTICLE; BIOMETRY; FACE; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY;

ALGORITHMS; BIOMETRIC IDENTIFICATION; FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED;

EID: 80052908072     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2142001     Document Type: Article

References (31)

1. S. Baker and T. Kanade, "Hallucinating faces," in Proc. Int. Conf. Autom. Face Gesture Recognit., 2000, pp. 83-88.
2. T. D. Tran, J. Liang, and C. Tu, "Lapped transform via time-domain pre-and post-filtering," IEEE Trans. Signal Process., vol. 51, no. 6, pp. 1557-1571, Jun. 2003.
3. C. Tu and T. D. Tran, "Context based entropy coding of block transform coefficients for image coding," IEEE Trans. Image Process., vol. 11, no. 5, pp. 1277-1283, May 2002.
4. W. T. Freeman, T. R. Jones, and E. C. Pasztor, "Example-based superresolution," IEEE Comput. Graphics Appl., vol. 22, no. 2, pp. 56-65, 2002.
5. B. S. Morse and D. Schwartzwald, "Image magnification using level-set reconstruction," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2001, vol. 1, pp. 333-340.
6. Z. Lin and H. Y. Shum, "Fundamental limits of reconstruction-based superresolution algorithms under local translation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 1, pp. 83-97, Jan. 2004.
7. Z. Lin, J. He, X. Tang, and C. K. Tang, "Limits of learning-based superresolution algorithms," in Proc. IEEE Int. Conf. Comput. Vis., 2007, pp. 1-8.
8. S. Baker and T. Kanade, "Limits on super-resolution and how to break them," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 9, pp. 1167-1183, Sep. 2002. (Pubitemid 35242579)
9. D. P. Capel and A. Zisserman, "Super-resolution from multiple views using learnt image models," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2001, vol. 2, pp. 627-634.
10. W. T. Freeman, E. C. Pasztor, and O. T. Carmichael, "Learning lowlevel vision," Int. J. Comput. Vis., vol. 40, no. 1, pp. 25-27, 2000.
11. J. Sun, N. N. Zheng, H. Tao, and H. Y. Shum, "Image hallucination with primal sketch priors," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2003, vol. 2, pp. II 729-II 736.
12. C. M. Bishop, A. Blake, and B. Marthi, "Super-resolution enhancement of video," in Proc. Artif. Intell. Statistics, 2003.
13. C. Liu, H. Y. Shum, and W. T. Freeman, "Face hallucination: Theory and practice," Int. J. Comput. Vis., vol. 75, no. 1, pp. 115-134, 2007. (Pubitemid 47120248)
14. Q. Wang, X. Tang, and H. Y. Shum, "Patch based blind image super resolution," in Proc. IEEE Int. Conf. Comput. Vis., 2005, vol. 1, pp. 709-716. (Pubitemid 44055025)
15. D. D. Muresan and T. W. Parks, "Optimal face reconstruction using training," in Proc. IEEE Int. Conf. Image Process., 2002, pp. 373-376.
16. W. Liu, D. Lin, and X. Tang, "Hallucinating faces: Tensorpatch superresolution and coupled residue compensation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2005, vol. 2, pp. 478-484.
17. K. S. Ni and T. Q. Nguyen, "Image superresolution using support vector regression," IEEE Trans. Image Process., vol. 16, no. 6, pp. 1596-1610, Jun. 2007. (Pubitemid 46796055)
18. A. J. Patti and Y. Altunbasak, "Super-resolution image estimation for transform coded video with application to MPEG," in Proc. IEEE Int. Conf. Image Process., 1999, vol. 3, pp. 179-183. (Pubitemid 30550028)
19. S. C. Park, M. G. Kang, C. A. Segall, and A. K. Katsaggelos, "Spatially adaptive high-resolution image reconstruction of DCT-based compressed images," IEEE Trans. Image Process., vol. 13, no. 4, pp. 573-585, Apr. 2004.
20. T. Q. Pham, L. J. van Vliet, and K. Schutte, "Resolution enhancement of low quality videos using a high-resolution frame," in Proc. Visual Commun. Image Process., 2006, vol. 6077.
21. Y. Li and X. Lin, "Face hallucination with pose variation," in Proc. IEEE Int. Conf. Autom. Face Gesture Recognit., 2004, pp. 723-728.
22. K. Jia and S. Gong, "Generalized face super-resolution," IEEE Trans. Image Process., vol. 17, no. 6, pp. 873-886, Jun. 2008. (Pubitemid 351772606)
23. Y.Wang, J. Ostermann, and Y. Zhang, Video Processing and Communications. Upper Saddle River, NJ: Prentice-Hall, 2002.
24. S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000. (Pubitemid 32041578)
25. H. Chang, D. Y. Yeung, and Y. Xiong, "Super-resolution through neighbor embedding," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2004, vol. 1, pp. I: 275-I: 282.
26. T. L. Chang, T. L. Liu, and J. H. Chuang, "Direct energy minimization for super-resolution on nonlinear manifolds," in Proc. Eur. Conf. Comput. Vis., 2006, pp. 281-294.
27. B. J. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 315, pp. 972-976, 2007. (Pubitemid 46281181)
28. P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face recognition algorithms," Image Vis. Computing, vol. 16, no. 5, pp. 295-306, 1998. (Pubitemid 128393579)
29. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss, "The FERET evaluation methodology for face recognition algorithms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 6, pp. 1090-1104, Jun. 2000.
30. H. Chen, Y. Q. Xu, H. Y. Shum, S. C. Zhu, and N. N. Zheng, "Examplebased facial sketch generation with non-parametric sampling," in Proc. IEEE Int. Conf. Comput. Vis., 2001, vol. 2, pp. 433-438. (Pubitemid 32795088)
31. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.