Gradient domain context enhancement for fixed cameras

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 19, Issue 4, 2005, Pages 533-549

  Ilie, Adrian ^a   Raskar, Ramesh ^b   Yu, Jingyi ^c  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Gradient domain integration; Image enhancement; Video enhancement

Indexed keywords

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE QUALITY; MATHEMATICAL MODELS; REAL TIME SYSTEMS; TELEVISION EQUIPMENT;

GRADIENT DOMAIN INTEGRATION; LOCATION RECOGNITION; VIDEO ENHANCEMENT;

CAMERAS;

EID: 22344448014     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001405004137     Document Type: Conference Paper

References (17)

1. P. J. Burt and E. H. Adelson, A multiresolution spline with application to image mosaics, ACM Trans. Graph. 2(4) (1983) 217-236.
2. Y. Chuang, B. Curless, D. Salesin and R. Szeliski, A Bayesian approach to digital matting, in Proc. CVPR 2 (2001) 264-271.
3. J. M. DiCarlo and B. A. Wandell, Rendering high dynamic range images, in Proc. SPIE: Image Sensors 3965 (2000), pp. 392-401.
4. F. Durand and J. Dorsey, Fast bilateral filtering for high-dynamic-range images, in Proc. SIGGRAPH 2002, ACM SIGGRAPH (2002), pp. 257-266.
5. R. Fattal, D. Lischinski and M. Werman, Gradient domain high dynamic range compression, in Proc. SIGGRAPH 2002, ACM SIGGRAPH (2002), pp. 249-256.
6. G. D. Finlayson, S. D. Hordley and M. S. Drew, Removing shadows from images, in Proc. ECCV 4 (2002), pp. 823-836.
7. P. Haeberli, A multifocus method for controlling depth of field, Available at: http://www.sgi.com/grafica/depth/index.html (1994).
8. A. D. Ilie, R. Raskar and J. Yu, Gradient domain context enhancement for fixed cameras, in Proc. ACCV 1 (2004), pp. 414-419.
9. S. B. Kang, M. Uyttendaele, S. Winder and R. Szelinski, High dynamic range video, in Proc. SIGGRAPH 2003, ACM SIGGRAPH (2003), pp. 319-325.
10. S. K. Nayar and S. G. Narasimhan, Vision in bad weather, in Proc. ICCV (1999), pp. 820-827.
11. P. Pèrez, M. Gagnet and A. Blake, Poisson image editing, in Proc. SIGGRAPH 2003, ACM SIGGRAPH (2003), pp. 313-318.
12. W. H. Press, S. A. Teukolsky, W. T. Vetterling and B. P. Flannery, Numerical Recipes in C: The Art of Scientific Computing (Pearson Education, 1992).
13. E. Reinhard, M. Stark, P. Shirley and J. Ferwerda, Photographic tone reproduction for images, in Proc. SIGGRAPH 2002, ACM SIGGRAPH (2002), pp. 267-276.
14. S. M. Smith and J. M. Brady, SUSAN - a new approach to low level image processing, Int. J. Comput. Vis. 23(1) (1997) 45-78.
15. D. Socolinsky and L. Wolff, A new visualization paradigm for multispectral imagery and data fusion, in Proc. IEEE CVPR, (1999), pp. 319-324.
16. K. Toyama, J. Krumm, B. Brumitt and B. Meyers, Wallflower: principles and practice of background maintenance, in Proc. ICCV (1999), pp. 255-261.
17. Y. Weiss, Deriving intrinsic images from image sequences, in Proc. ICCV 2 (2001), pp. 68-75.