Soft edge smoothness prior for alpha channel super resolution

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Dai, Shengyang ^a   Han, Mei ^b   Xu, Wei ^b   Wu, Ying ^a   Gong, Yihong ^b  

^a NORTHWESTERN UNIVERSITY   (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CHARACTERIZATION; COLOR IMAGE PROCESSING; OPTICAL RESOLVING POWER; OPTIMIZATION;

ALPHA CHANNELS; ALPHA MATTING TECHNIQUE; EDGE SEGMENTS; EDGE SMOOTHNESS; INTENSITY TRANSITIONS;

PATTERN RECOGNITION;

EID: 34948897544     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383028     Document Type: Conference Paper

References (30)

1. J. Allebach and P. W. Wong. Edge-directed interpolation. In ICIP, 1996. 2
2. S. Baker and T. Kanade. Limits on super-resolution and how to break them. IEEE Trans, on PAMI, 24(9):1167-1183, 2002. 1
3. E. P. Bennett, M. Uyttendaele, C. L. Zitnick, R. Szeliski, and S. B. Kang. Video and image bayesian demosaicing with a two color image prior. In ECCV, 2006. 2, 6
4. C. M. Bishop, A. Blake, and B. Marthi. Super-resolution enhancement of video. In Proc. Artificial Intelligence and Statistics, 2003. 2
5. Y. Boykov and V. Kolmogorov. Computing geodesies and minimal surfaces via graph cuts. In ICCV, 2003. 1, 2, 3
6. Y. Boykov and V. Kolmogorov. An experimental comparison of mincut/max-flow algorithms for energy minimization in vision. IEEE Trans. on PAMI, 26(9): 1124-1137, 2004. 3
7. Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE Trans. on PAMI, 23(11): 1222-1239, 2001. 3
8. F. Champagnat, G. L. Besnerais, and C. Kulcsar. Continuous superresolution for recovery of 1-d image features: Algorithm and performance modeling. In CVPR, 2006. 2
9. T. F. Chan, S. Osher, and J. Shen. The digital tv filter and nonlinear denoising. IEEE Trans. on Image Processing, 10(2):231-241, 2001.
10. H. Chang, D. Yeung, and Y. Xiong. Super-resolution through neighbor embedding. In CVPR, 2004. 2, 8
11. M. Elad and A. Feuer. Restoration of single super-resolution image from several blurred, noisy and down-sampled measured images. IEEE Trans. on Image Processing, 6(12): 1646-1658, 1997. 2
12. S. Farsiu, M. Elad, and P. Milanfar. Multi-frame demosaicing and super-resolution of color images. IEEE Trans. on Image Processing, 15(1): 141-159, 2006. 6
13. S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar. Fast and robust multiframe super resolution. IEEE Trans. on Image Processing, 13(10): 1327-1344, 2004. 2, 4, 5
14. W. T. Freeman, T. R. Jones, and E. C. Pasztor. Example-based superresolution. IEEE Computer Graphics and Applications, 2002. 2
15. W. T. Freeman, E. Pasztor, and O. Carmichael. Learning low-level vision. IJCV, 40(1):25-47, 2000. 2, 8
16. X. C. He and N. Yung. Curvature scale space corner detector with adaptive threshold and dynamic region of support. In ICPR, 2004. 5
17. M. Irani and S. Peleg. Motion analysis for image enhancement: resolution, occlusion and transparency. JVCIP, 1993. 1, 4, 6, 8
18. A. Katsaggelos, R. Molina, and J. Mateos. Super resolution of images and video. Synthesis Lectures on Image, Video, and Multimedia Processing. Morgan & Claypool, 2007. 1
19. D. Kong, M. Han, W. Xu, H. Tao, and Y. Gong. Video super-resolution with scene-specific priors. In BMVC, 2006. 2
20. A. Levin, D. Lischinski, and Y. Weiss. A closed form solution to natural image matting. In CVPR, 2006. 2, 5, 6
21. X. Li and M. Orchard. New edge-directed interpolation. IEEE Trans. on Image Processing, 10(10): 1521-1527, 2001. 2
22. Z. Lin and H.-Y. Shum. Fundamental limits of reconstruction based super-resolution algorithms under local translation. IEEE Trans. on PAMI, 26(1):83-97, 2004. 1
23. C. Liu, H.-Y. Shum, and C.-S. Zhang. A two-step approach to hallucinating faces: Global parametric model and local nonparametric model. In CVPA, 2001. 2
24. B. S. Morse and D. Schwartzwald. Image magnification using level set reconstruction. In CVPR, 2001. 2, 4
25. V. Rabaud and S. Belongie. Big little icons. In CVAVI, 2005. 2, 4
26. L. Rudin, S. Osher, and E. Fatemi. Nonlinear total variation based noise removal algorithms. Physica D, 60:259-268, 1992. 5
27. J. Sun, N. Zheng, H. Tao, and H. Shum. Image hallucination with primal sketch priors. In CVPR, 2003. 2, 5
28. Y.-W. Tai, W.-S. Tong, and C.-K. Tang. Perceptually-inspired and edge-directed color image super-resolution. In CVPR, 2006. 2, 5, 6
29. M. F. Tappen, B. Russell, and W. T. Freeman. Exploiting the sparse derivative prior for super-resolution and image demosaicing. In IEEE Workshop on Statistical and Computational Theories of Vision, 2003. 2
30. Q. Wang, X. Tang, and H. Shum. Patch based blind image super resolution. In CVPR, 2005. 2