Reconstruction of high contrast images for dynamic scenes

Visual Computer

Volumn 27, Issue 12, 2011, Pages 1099-1114

  Raman, Shanmuganathan ^a   Chaudhuri, Subhasis ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Computational photography; De ghosting; High dynamic range imaging; Low dynamic range image generation

Indexed keywords

COLOR PHOTOGRAPHY; IMAGE RECONSTRUCTION;

CAMERA RESPONSE FUNCTIONS; COMPUTATIONAL PHOTOGRAPHY; DE-GHOSTING; HIGH DYNAMIC RANGE IMAGING; HIGH-CONTRAST IMAGES; LOW DYNAMIC RANGE IMAGES; SEGMENTATION ALGORITHMS; STATE-OF-THE-ART TECHNIQUES;

IMAGE SEGMENTATION;

EID: 82955195395     PISSN: 01782789     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00371-011-0653-0     Document Type: Conference Paper

References (58)

1. Adobe Photoshop CS5 User Guide. Adobe Systems Incorporated, San Jose (2010)
2. A. Agarwala M. Dontcheva M. Agrawala S. Drucker A. Colburn B. Curless D. Salesin M. Cohen 2004 Interactive digital photomontage ACM Trans. Graph. 23 294 302 10.1145/1015706.1015718 (Pubitemid 40163718)
3. Agrawal, A.; Raskar, R.: What is the range of surface reconstructions from a gradient field. In: ECCV, pp. 578-591. Springer, Graz (2006) (Pubitemid 44029808)
4. Ashikhmin, M.: A tone mapping algorithm for high contrast images. In: Proceedings of the 13th Eurographics Workshop on Rendering, pp. 145-156. Eurographics Association, Pisa (2002)
5. T.O. Aydin R. Mantiuk K. Myszkowski H.P. Seidel 2008 Dynamic range independent image quality assessment ACM Trans. Graph. 27 69:1 69:10 10.1145/1360612.1360668
6. Banterle, F.; Ledda, P.; Debattista, K.; Chalmers, A.: Inverse tone mapping. In: GRAPHITE '06: Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia, pp. 349-356. ACM, Kuala Lumpur (2006) (Pubitemid 47113728)
7. Bogart, R.; Kainz, F.; Hess, D.: The openexr file format. In: SIGGRAPH Technical Sketch, San Diego, USA (2003)
8. Borenstein, E.; Ullman, S.: Class-specific, top-down segmentation. In: Heyden, A.; Sparr, G.; Nielsen, M.; Johansen, P. (eds.) Computer Vision ECCV 2002. Lecture Notes in Computer Science, vol. 2351, pp. 639-641. Springer, Berlin (2002)
9. Borenstein, E.; Ullman, S.: Learning to segment. In: Computer Vision-ECCV, pp. 315-328. Springer, Prague (2004)
10. Brinkmann, R.: The Art and Science of Digital Compositing. Morgan Kaufmann, San Mateo (1999)
11. Debevec, P.E.; Malik, J.: Recovering high dynamic range radiance maps from photographs. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '97, pp. 369-378. ACM, Los Angeles (1997)
12. F. Drago K. Myszkowski T. Annen N. Chiba 2003 Adaptive logarithmic mapping for displaying high contrast scenes Comput. Graph. Forum 22 3 419 426 10.1111/1467-8659.00689
13. F. Durand J. Dorsey 2002 Fast bilateral filtering for the display of high-dynamic-range images ACM Trans. Graph. 21 257 266
14. R. Fattal D. Lischinski M. Werman 2002 Gradient domain high dynamic range compression ACM Trans. Graph. 21 249 256 10.1145/566654.566573
15. Fulkerson, B.; Vedaldi, A.; Soatto, S.: Class segmentation and object localization with superpixel neighborhoods. In: Computer Vision, 2009 IEEE 12th International Conference on, pp. 670-677. IEEE, Kyoto (2010)
16. Gallo, O.; Gelfand, N.; Chen, W.; Tico, M.; Pulli, K.: Artifact-free high dynamic range imaging. In: IEEE International Conference on Computational Photography (ICCP), San Francisco, CA, USA (2009)
17. A. Goshtasby 2005 Fusion of multi-exposure images Image Vis. Comput. 23 6 611 618 10.1016/j.imavis.2005.02.004 (Pubitemid 40537044)
18. Granados, M.; Ajdin, B.; Wand, M.; Theobalt, C.; Seidel, H.; Lensch, H.: Optimal HDR reconstruction with linear digital cameras. In: Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp. 215-222. IEEE, San Francisco (2010)
19. M. Grossberg S. Nayar 2003 Determining the camera response from images: what is knowable? IEEE Trans. Pattern Anal. Mach. Intell. 25 11 1455 1467 10.1109/TPAMI.2003.1240119
20. D. Guo Y. Cheng S. Zhuo T. Sim 2010 Correcting over-exposure in photographs Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on San Francisco, CA, USA 515 521 10.1109/CVPR.2010.5540170 10.1109/CVPR.2010.5540170
21. Guo, D.; Cheng, Y.; Zhuo, S.; Sim, T.: Correcting over-exposure in photographs. In: Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, San Francisco, CA, USA, pp. 515-521 (2010). doi: 10.1109/CVPR.2010.5540170
22. D. Hoiem A.A. Efros M. Hebert 2005 Automatic photo pop-up ACM Trans. Graph. 24 577 584 10.1145/1073204.1073232
23. K. Jacobs C. Loscos G. Ward 2008 Automatic high-dynamic range image generation for dynamic scenes IEEE Comput. Graph. Appl. 28 2 84 93 10.1109/MCG.2008.23 (Pubitemid 351447537)
24. Khan, E.; Akyuz, A.; Reinhard, E.: Ghost removal in high dynamic range images. In: Image Processing, 2006 IEEE International Conference on, Atlanta, GA, USA, pp. 2005-2008 (2006)
25. A. Levin D. Lischinski Y. Weiss 2008 A closed-form solution to natural image matting IEEE Trans. Pattern Anal. Mach. Intell. 30 228 242 10.1109/TPAMI.2007.1177
26. A. Levinshtein A. Stere K. Kutulakos D. Fleet S. Dickinson K. Siddiqi 2009 Turbopixels: Fast superpixels using geometric flows IEEE Trans. Pattern Anal. Mach. Intell. 31 12 2290 2297 10.1109/TPAMI.2009.96
27. Lin, S.; Gu, J.; Yamazaki, S.; Shum, H.Y.: Radiometric calibration from a single image. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'04, pp. 938-945. IEEE Computer Society, Washington (2004)
28. D. Lischinski Z. Farbman M. Uyttendaele R. Szeliski 2006 Interactive local adjustment of tonal values ACM Trans. Graph. 25 646 653 10.1145/1141911.1141936 (Pubitemid 44481024)
29. S. Mann 2000 Comparametric equations with practical applications in quantigraphic image processing IEEE Trans. Image Process. 9 8 1389 1406 1808277 0968.68177 10.1109/83.855434
30. Mann, S.; Picard, R.W.: On being undigital with digital cameras: Extending dynamic range by combining exposed pictures. In: Proc. of IS & T 48th Annual Conference, pp. 422-428 (1995)
31. R. Mantiuk H. Seidel 2008 Modeling a generic tone-mapping operator Comput. Graph. Forum 27 2 699 708 10.1111/j.1467-8659.2008.01168.x (Pubitemid 351612884)
32. R. Mantiuk K. Myszkowski H.P. Seidel 2006 A perceptual framework for contrast processing of high dynamic range images ACM Trans. Appl. Percept. 3 286 308 10.1145/1166087.1166095
33. Mantiuk, R.; Krawczyk, G.; Mantiuk, R.; Seidel, H.P.: High dynamic range imaging pipeline: Perception-motivated representation of visual content. In: Rogowitz, B.E.; Pappas, T.N.; Daly, S.J. (eds.) Human Vision and Electronic Imaging XII. Proceedings of SPIE. SPIE, San Jose (2007)
34. S. Masood J. Zhu M. Tappen 2009 Automatic correction of saturated regions in photographs using cross-channel correlation Comput. Graph. Forum 28 7 1861 1869 10.1111/j.1467-8659.2009.01564.x
35. T. Mertens J. Kautz F.V. Reeth 2009 Exposure fusion: A simple and practical alternative to high dynamic range photography Comput. Graph. Forum 28 1 161 171 10.1111/j.1467-8659.2008.01171.x
36. Mitsunaga, T.; Nayar, S.: Radiometric self calibration. In: Computer Vision and Pattern Recognition, 1999. CVPR 1999. Proceedings of the 1999 IEEE Computer Society Conference on, Ft. Collins, CO, USA, p. 1374 (1999)
37. Mori, G.: Guiding model search using segmentation. In: Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Beijing, China, vol. 2, pp. 1417-1423 (2005) (Pubitemid 44042345)
38. Mori, G.; Ren, X.; Efros, A.; Malik, J.: Recovering human body configurations: Combining segmentation and recognition. In: Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Washington, DC, USA, vol. 2, pp. II-326-II-333 (2004)
39. Pattanaik, S.N.; Tumblin, J.; Yee, H.; Greenberg, D.P.: Time-dependent visual adaptation for fast realistic image display. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '00, pp. 47-54. ACM, New York (2000) (Pubitemid 32393965)
40. P. Pérez M. Gangnet A. Blake 2003 Poisson image editing ACM Trans. Graph. 22 313 318 10.1145/882262.882269
41. P. Perona J. Malik 1990 Scale-space and edge detection using anisotropic diffusion IEEE Trans. Pattern Anal. Mach. Intell. 12 7 629 639 10.1109/34.56205 (Pubitemid 20726016)
42. T. Porter T. Duff 1984 Compositing digital images SIGGRAPH Comput. Graph. 18 253 259 10.1145/964965.808606
43. Raman, S.; Chaudhuri, S.: A matte-less, variational approach to automatic scene compositing. In: Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, Rio de Janeiro, Brazil, pp. 1-6 (2007)
44. Raman, S.; Chaudhuri, S.: Bilateral filter based compositing for variable exposure photography. In: EUROGRAPHICS Short Papers, Munich, Germany (2009)
45. Raman, S.; Chaudhuri, S.: Bottom-up segmentation for ghost-free reconstruction of a dynamic scene from multi-exposure images. In: Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP '10, pp. 56-63. ACM, Chennai (2010)
46. Reinhard, E.; Heidrich, W.; Pattanaik, S.; Debevec, P.; Ward, G.; Myszkowski, K.: High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting. Morgan Kaufmann Series in Computer Graphics. Elsevier, Amsterdam (2010)
47. E. Reinhard K. Devlin 2005 Dynamic range reduction inspired by photoreceptor physiology IEEE Trans. Vis. Comput. Graph. 11 1 13 24 10.1109/TVCG.2005.9 (Pubitemid 40168678)
48. E. Reinhard M. Stark P. Shirley J. Ferwerda 2002 Photographic tone reproduction for digital images ACM Trans. Graph. 21 267 276 10.1145/566654.566575
49. Ren, X.; Malik, J.: Learning a classification model for segmentation. In: Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, Nice, France, vol. 1, pp. 10-17 (2003)
50. C. Rother V. Kolmogorov A. Blake 2004 "Grabcut": Interactive foreground extraction using iterated graph cuts ACM Trans. Graph. 23 309 314 10.1145/1015706.1015720 (Pubitemid 40163720)
51. J. Shi J. Malik 2000 Normalized cuts and image segmentation IEEE Trans. Pattern Anal. Mach. Intell. 22 8 888 905 10.1109/34.868688
52. Spheron: Spherocam HDR. http://www.spheron.com/
53. Szeliski, R.: Image alignment and stitching: A tutorial. Found. Trends Comput. Graph. Vis. 2(1) (2008)
54. Uyttendaele, M.; Eden, A.; Skeliski, R.: Eliminating ghosting and exposure artifacts in image mosaics. In: Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, Kauai, HI, USA, vol. 2, pp. II-509-II-516 (2001)
55. Vedaldi, A.; Soatto, S.: Quick shift and kernel methods for mode seeking. In: Proceedings of the European Conference on Computer Vision (ECCV), Marseille, France (2008)
56. G. Ward 2003 Fast robust image registration for compositing high dynamic range photographcs from hand-held exposures J. Graph. Tools 8 2 17 30
57. Ward, G.J.: The radiance lighting simulation and rendering system. In: Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '94, pp. 459-472. ACM, New York (1994)
58. Zhang, W.; Cham, W.K.: Gradient-directed composition of multi-exposure images. In: Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, San Francisco, CA, USA, pp. 530-536 (2010)