Statistical regularities in low and high dynamic range images

Proceedings - APGV 2010: Symposium on Applied Perception in Graphics and Visualization

Volumn , Issue , 2010, Pages 9-16

  Pouli, Tania ^a   Cunningham, Douglas ^b   Reinhard, Erik ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b BRANDENBURG UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

High dynamic range; Natural image statistics

Indexed keywords

DESIGN OF ALGORITHMS; HIGH DYNAMIC RANGE; HIGH DYNAMIC RANGE IMAGES; HUMAN VISION; HUMAN VISUAL SYSTEM; NATURAL IMAGE STATISTICS; STATISTICAL REGULARITY;

COMPUTER GRAPHICS; COMPUTER VISION; VISUALIZATION;

STATISTICS;

EID: 77956245413     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1836248.1836250     Document Type: Conference Paper

References (35)

1. BARLOW, H. B. 1994. What is the computational goal of the neocortex? In Large-Scale Neuronal Theories of the Brain, C. Koch, Ed. MIT Press.
2. BELL, A., AND SEJNOWSKI, T. 1997. The "independent components" of natural scenes are edge filters. Vision Research 37, 23, 3327-3338.
3. BELL, A., AND SEJNOWSKI, T. 1997. Edges are the 'independent components' of natural scenes. Advances in Neural Information Processing Systems 9, 831-837.
4. BRADY, M., AND LEGGE, G. 2009. Camera calibration for natural image studies and vision research. Journal of the Optical Society of America A 26, 1, 30-42.
5. BURTON, G., AND MOORHEAD, I. 1987. Color and spatial structure in natural scenes. Applied Optics 26, 1, 157-170.
6. DEBEVEC, P., AND MALIK, J. 1997. Recovering high dynamic range radiance maps fromphotographs. In SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques, 369-378.
7. DROR, R., LEUNG, T., ADELSON, E., AND WILLSKY, A. 2001. Statistics of real-world illumination. In CVPR '01: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, 164-171.
8. FAIRCHILD, M. 2007. The hdr photographic survey. In Proceedings of the Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, vol. 15, 233-238.
9. FIELD, D. 1987. Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A 4, 12, 2379-2394.
10. FIELD, D. J. 1993. Scale-invariance and self-similar 'wavelet' transforms: An analysis of natural scenes and mammalian visual systems. In Wavelets, fractals and Fourier transforms. 151-193.
11. FIELD, D. J. 1994. What is the goal of sensory coding? Neural Computation 6, 4, 559-601.
12. FIELD, D. 1999. Wavelets, vision and the statistics of natural scenes. Philosophical Transactions: Mathematical 357, 176, 2527-2542.
13. HANCOCK, P., BADDELEY, R., AND SMITH, L. 1992. The principal components of natural images. Network: Computation in Neural Systems 3, 1, 61-70.
14. VAN HATEREN, J. H., AND VAN DER SCHAAF, A. 1998. Independent component filters of natural images compared with simple cells in primary visual cortex. In Proceedings of the Royal Society B: Biological Sciences, vol. 265, 359.
15. VAN HATEREN, J. H. 1992. A theory of maximizing sensory information. Biological Cybernetics 68, 1, 23-29.
16. HAYES, W. L. 1988. Statistics. Harcour Brace College Publishers, Orlando, FL.
17. HUANG, J., AND MUMFORD, D. 1999. Image statistics for the british aerospace segmented database. MTPC preprint.
18. HUANG, J., AND MUMFORD, D. 1999. Statistics of natural images andmodels. In CVPR '99: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1.
19. HURRI, J., HYVÄRINEN, A., KARHUNEN, J., AND OJA, E. 1996. Image feature extraction using independent component analysis. In Proceedings of the IEEE Nordic Signal Processing Symposium (NORSIG), 475-478.
20. HURRI, J., HYVÄRINEN, A., AND OJA, E. 1997. Wavelets and natural image statistics. In Proceedings of the Scandinavian Conference on Image Analysis, vol. 1, 13-18.
21. LEVIN, A., ZOMET, A., AND WEISS, Y. 2003. Learning how to inpaint from global image statistics. In ICCV '03: IEEE International Conference on Computer Vision, 305.
22. LEVIN, A. 2007. Blind motion deblurring using image statistics. Advances in Neural Information Processing Systems 19, 841-848.
23. OLSHAUSEN, B., AND FIELD, D. 1996. Natural image statistics and efficient coding. Network: Computation in Neural Systems 7, 333-339.
24. PORTILLA, J., AND SIMONCELLI, E. 2000. Image denoising via adjustment of wavelet coefficient magnitude correlation. In Proceedings of the 7th International Conference in Image Processing, 10-13.
25. POULI, T., CUNNINGHAM, D. W., AND REINHARD, E. 2010. Image statistics and their applications in computer graphics. In Eurographics State-of-the-Art Reports.
26. REINHARD, E., STARK, M., SHIRLEY, P., AND FERWERDA, J. 2002. Photographic tone reproduction for digital images. ACM Transactions on Graphics 21, 3, 267-276.
27. REINHARD, E., SHIRLEY, P., ASHIKHMIN, M., AND TROSCIANKO, T. 2004. Second order image statistics in computer graphics. In Proceedings of the 1st Symposium on Applied perception in graphics and visualization, 99-106.
28. RUDERMAN, D., AND BIALEK, W. 1994. Statistics of natural images: Scaling in the woods. Physical Review Letters 73, 6, 814-817.
29. SHAN, Q., JIA, J., AND AGARWALA, A. 2008. High-quality motion deblurring from a single image. ACM Transactions on Graphics 27, 3, 73.
30. SIMONCELLI, E. 1999. Bayesian denoising of visual images in the wavelet domain. Bayesian Inference in Wavelet Based Models 141, 291-308.
31. SIMONCELLI, E. 1999. Modeling the joint statistics of images in the wavelet domain. Proceedings of the SPIE 3813, 188-195.
32. THOMSON, M. 1999. Higher-order structure in natural scenes. Journal of the Optical Society of America A 16, 7, 1549-1553.
33. TOLHURST, D., TADMOR, Y., AND CHAO, T. 1992. Amplitude spectra of natural images. Ophthalmic and Physiological Optics 12, 2, 229-232.
34. TORRALBA, A., AND OLIVA, A. 2003. Statistics of natural image categories. Network: Computation in Neural Systems 14, 3, 391-412.
35. WEBSTER, M., AND MIYAHARA, E. 1997. Contrast adaptation and the spatial structure of natural images. Journal of the Optical Society of America A 14, 9, 2355-2366.