ABSTRACT
We present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging equipment. In our method, multiple photographs of the scene are taken with different amounts of exposure. Our algorithm uses these differently exposed photographs to recover the response function of the imaging process, up to factor of scale, using the assumption of reciprocity. With the known response function, the algorithm can fuse the multiple photographs into a single, high dynamic range radiance map whose pixel values are proportional to the true radiance values in the scene. We demonstrate our method on images acquired with both photochemical and digital imaging processes. We discuss how this work is applicable in many areas of computer graphics involving digitized photographs, including image-based modeling, image compositing, and image processing. Lastly, we demonstrate a few applications of having high dynamic range radiance maps, such as synthesizing realistic motion blur and simulating the response of the human visual system.
- Adams, A. Basic Photo, 1st ed. Morgan & Morgan, Hastings-on-Hudson, New York, 1970.Google Scholar
- Chen, E. QuickTime VR - an image-based approach to virtual environment navigation. In SIGGRAPH '95 (1995). Google ScholarDigital Library
- Debevec, P. E., Taylor, C. J., and Malik, J. Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach. In SIGGRAPH '96 (August 1996), pp. 11--20. Google ScholarDigital Library
- Faugeras, O. Three-Dimensional Computer Vision. MIT Press, 1993. Google ScholarDigital Library
- Ferwerda, J. A., Pattanaik, S. N., Shirley, P., and Greenberg, D. P. A model of visual adaptation for realistic image synthesis. In SIGGRAPH '96 (1996), pp. 249--258. Google ScholarDigital Library
- Gortler, S. J., Grzeszczuk, R., Szeliski, R., and Cohen, M. F. The Lumigraph. In SIGGRAPH '96 (1996), pp. 43--54. Google ScholarDigital Library
- Horn, B. K. P. Robot Vision. MIT Press, Cambridge, Mass., 1986, ch. 10, pp. 206--208. Google ScholarDigital Library
- James, T., Ed. The Theory of the Photographic Process. Macmillan, New York, 1977.Google Scholar
- Kaufman, J. E., Ed. IES Lighting Handbook; the standard lighting guide, 7th ed. Illuminating Engineering Society, New York, 1987, p. 24.Google Scholar
- Kolb, C., Mitchell, D., and Hanrahan, P. A realistic camera model for computer graphics. In SIGGRAPH '95 (1995). Google ScholarDigital Library
- Laveau, S., and Faugeras, O. 3-D scene representation as a collection of images. In Proceedings of 12th International Conference on Pattern Recognition (1994), vol. 1, pp. 689--691.Google ScholarCross Ref
- Levoy, M., and Hanrahan, P. Light field rendering. In SIGGRAPH '96 (1996), pp. 31--42. Google ScholarDigital Library
- Madden, B. C. Extended intensity range imaging. Tech. rep., GRASP Laboratory, University of Pennsylvania, 1993.Google Scholar
- Mann, S., and Picard, R. W. Being 'undigital' with digital cameras: Extending dynamic range by combining differently exposed pictures. In Proceedings of IS&T 46th annual conference (May 1995), pp. 422--428.Google Scholar
- McMillan, L., and Bishop, G. Plenoptic Modeling: An image-based rendering system. In SIGGRAPH '95 (1995). Google ScholarDigital Library
- Schlick, C. Quantization techniques for visualization of high dynamic range pictures. In Fifth Eurographics Workshop on Rendering (Darmstadt, Germany) (June 1994), pp. 7--18.Google Scholar
- Szeliski, R. Image mosaicing for tele-reality applications. In IEEE Computer Graphics and Applications (1996).Google Scholar
- Tani, T. Photographic sensitivity: theory and mechanisms. Oxford University Press, New York, 1995.Google Scholar
- Theuwissen, A. J. P. Solid-state imaging with charge-coupled devices. Kluwer Academic Publishers, Dordrecht; Boston, 1995.Google Scholar
- Tumblin, J., and Rushmeier, H. Tone reproduction for realistic images. IEEE Computer Graphics and Applications 13, 6 (1993), 42--48. Google ScholarDigital Library
- Ward, G. J. Measuring and modeling anisotropic reflection. In SIGGRAPH '92 (July 1992), pp. 265--272. Google ScholarDigital Library
- Ward, G. J. The radiance lighting simulation and rendering system. In SIGGRAPH '94 (July 1994), pp. 459--472. Google ScholarDigital Library
- Ward, G. J., Rushmeier, H., and Piatko, C. A visibility matching tone reproduction operator for high dynamic range scenes. Tech. Rep. LBNL-39882, Lawrence Berkeley National Laboratory, March 1997.Google Scholar
Index Terms
Recovering high dynamic range radiance maps from photographs
Recommendations
Recovering High Dynamic Range Radiance Maps from Photographs
Seminal Graphics Papers: Pushing the Boundaries, Volume 2We present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging equipment. In our method, multiple photographs of the scene are taken with different amounts of exposure. Our algorithm uses these ...
Recovering High Dynamic Range Radiance Maps from Photographs Revisited: A Simple and Important Fix
ICIG '13: Proceedings of the 2013 Seventh International Conference on Image and GraphicsAn influential technique introduced by Debevec and Malik has become the de facto standard for recovering high dynamic range radiance maps from photographs and has been widely used in research and commercial systems for over a decade. However, we have ...
Pre-convolved Radiance Caching
The incident indirect light over a range of image pixels is often coherent. Two common approaches to exploit this inter-pixel coherence to improve rendering performance are Irradiance Caching and Radiance Caching. Both compute incident indirect light ...
Comments