Image hallucination with feature enhancement

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 2074-2081

  Xiong, Zhiwei ^b   Sun, Xiaoyan ^a   Wu, Feng ^a  

^a MICROSOFT RESEARCH ASIA   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MAPPING; OPTICAL RESOLVING POWER;

DIFFERENT RESOLUTIONS; EXAMPLE-BASED SUPER-RESOLUTION; FEATURE ENHANCEMENT; HIGH FREQUENCY HF; ILL POSED PROBLEM; MAGNIFIED IMAGES; MAPPING ACCURACY; SUPER RESOLUTION;

IMAGE ENHANCEMENT;

EID: 70450177597     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206630     Document Type: Conference Paper

References (11)

1. W. T. Freeman, E. C. Pasztor, and O. T. Carmichael. Learning low-level vision. IJCV, 2000.
2. J. Sun, N. Zheng, H. Tao, and H. Shum. Image hallucination with primal sketch priors. CVPR, 2003.
3. H. Chang, D. Yeung, and Y. Xiong. Super-resolution through neighbor embedding. CVPR, 2004.
4. J. Yang, J. Wright, Y. Ma, and T. Huang. Image super-resolution as sparse representation of raw image patches. CVPR, 2008.
5. L. Ma, Y. Zhang, Y. Lu, F. Wu, and D. Zhao. Three-tiered network model for image hallucination. ICIP, 2008.
6. M. Irani, and S. Peleg. Motion analysis for image enhancement: resolution, occlusion and transparency. JVCIP, 1993.
7. B. A. Olshausen, and D. J. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 1996.
8. A. Levin, and Y. Weiss. User assisted separation of reflections from a single image using a sparsity prior. PAMI, 2007.
9. B. Guenter, and J. Tumblin. Quadrature prefiltering for high quality antialiasing. ACM Transaction on Graphics, 1996.
10. L. Lucy. An iterative technique for the rectification of observed distributions. Astronomical Journal, 1974.
11. D. P. Mitchell, and A. N. Netravali. Reconstruction filters in computer graphics. SIGGRAPH, 1988.