Article

Fast bilateral filtering for the display of high-dynamic-range images

Authors:

Julie DorseyAuthors Info & Claims

SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

Pages 257 - 266

https://doi.org/10.1145/566570.566574

Published: 01 July 2002 Publication History

Abstract

We present a new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail. It is based on a two-scale decomposition of the image into a base layer, encoding large-scale variations, and a detail layer. Only the base layer has its contrast reduced, thereby preserving detail. The base layer is obtained using an edge-preserving filter called the bilateral filter. This is a non-linear filter, where the weight of each pixel is computed using a Gaussian in the spatial domain multiplied by an influence function in the intensity domain that decreases the weight of pixels with large intensity differences. We express bilateral filtering in the framework of robust statistics and show how it relates to anisotropic diffusion. We then accelerate bilateral filtering by using a piecewise-linear approximation in the intensity domain and appropriate subsampling. This results in a speed-up of two orders of magnitude. The method is fast and requires no parameter setting.

References

[1]

ADAMS, A. 1995. The Camera+The Negative+The Print. Little Brown and Co.

[2]

BARASH, D. 2001. A fundamental relationship between bilateral filtering, adaptive smoothing and the nonlinear diffusion equation. IEEE PAMI. in press.

Digital Library

[3]

BARROW, H., AND TENENBAUM, J. 1978. Recovering intrinsic scene characteristics from images. In Computer Vision Systems. Academic Press, New York, 3-26.

[4]

BLACK, M., SAPIRO, G., MARIMONT, D., AND HEEGER, D. 1998. Robust anisotropic diffusion. IEEE Trans. Image Processing 7, 3 (Mar.), 421-432.

Digital Library

[5]

CHIU, K., HERF, M., SHIRLEY, P., SWAMY, S., WANG, C., AND ZIMMERMAN, K. 1993. Spatially nonuniform scaling functions for high contrast images. In Proc. Graphics Interface, 245-253.

[6]

COHEN, J., TCHOU, C., HAWKINS, T., AND DEBEVEC, P. 2001. Real-time high-dynamic range texture mapping. In Rendering Techniques 2001: 12th Eurographics Workshop on Rendering, Eurographics, 313-320.

[7]

DEBEVEC, P. E., AND MALIK, J. 1997. Recovering high dynamic range radiance maps from photographs. In Proceedings of SIGGRAPH 97, ACM SIGGRAPH / Addison Wesley, Los Angeles, California, Computer Graphics Proceedings, Annual Conference Series, 369-378.

Digital Library

[8]

DESBRUN, M., MEYER, M., SCHRÖDER, P., AND BARR, A. H. 2000. Anisotropic feature-preserving denoising of height fields and bivariate data. In Graphics Interface, 145-152.

[9]

DICARLO, J., AND WANDELL, B. 2000. Rendering high dynamic range images. Proceedings of the SPIE: Image Sensors 3965, 392-401.

[10]

DURAND, F. 2002. An invitation to discuss computer depiction. In Proc. NPAR'02.

Digital Library

[11]

ELAD, M. to appear. On the bilateral filter and ways to improve it. IEEE Trans. on Image Processing.

Digital Library

[12]

FERWERDA, J. 1998. Fundamentals of spatial vision. In Applications of visual perception in computer graphics. Siggraph '98 Course Notes.

[13]

HAMPEL, F. R., RONCHETTI, E. M., ROUSSEEUW, P. J., AND STAHEL, W. A. 1986. Robust Statistics: The Approach Based on Influence Functions. Wiley, New York.

[14]

HUBER, P. J. 1981. Robust Statistics. John Wiley and Sons, New York.

[15]

JOBSON, RAHMAN, AND WOODELL. 1997. A multi-scale retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans. on Image Processing: Special Issue on Color Processing 6 (July), 965-976.

Digital Library

[16]

LARSON, G. W., RUSHMEIER, H., AND PIATKO, C. 1997. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 3, 4 (October - December), 291-306.

Digital Library

[17]

MADDEN, B. 1993. Extended intensity range imaging. Tech. rep., U. of Pennsylvania, GRASP Laboratory.

[18]

MCCOOL, M. 1999. Anisotropic diffusion for monte carlo noise reduction. ACM Trans. on Graphics 18, 2, 171-194.

Digital Library

[19]

MITSUNAGA, T., AND NAYAR, S. K. 2000. High dynamic range imaging: Spatially varying pixel exposures. In IEEE CVPR, 472-479.

[20]

OH, B. M., CHEN, M., DORSEY, J., AND DURAND, F. 2001. Image-based modeling and photo editing. In Proceedings of ACM SIGGRAPH 2001, ACM Press / ACM SIGGRAPH, Computer Graphics Proceedings, Annual Conference Series, 433-442.

Digital Library

[21]

PATTANAIK, S. N., FERWERDA, J. A., FAIRCHILD, M. D., AND GREENBERG, D. P. 1998. A multiscale model of adaptation and spatial vision for realistic image display. In Proceedings of SIGGRAPH 98, ACM SIGGRAPH / Addison Wesley, Orlando, Florida, Computer Graphics Proceedings, Annual Conference Series, 287-298.

Digital Library

[22]

PERONA, P., AND MALIK, J. 1990. Scale-space and edge detection using anisotropic diffusion. IEEE PAMI 12, 7, 629-639.

Digital Library

[23]

RUDMAN, T. 2001. The Photographer's Master Printing Course. Focal Press.

[24]

RUSHMEIER, H. E., AND WARD, G. J. 1994. Energy preserving non-linear filters. In Proceedings of SIGGRAPH 94, ACM SIGGRAPH / ACM Press, Orlando, Florida, Computer Graphics Proceedings, Annual Conference Series, 131-138.

Digital Library

[25]

SAINT-MARC, P., CHEN, J., AND MEDIONI, G., 1991. Adaptive smoothing: a general tool for early vision.

[26]

SCHECHNER, Y. Y., AND NAYAR, S. K. 2001. Generalized mosaicing. In Proc. IEEE CVPR, 17-24.

[27]

SCHLICK, C. 1994. Quantization techniques for visualization of high dynamic range pictures. 5th Eurographics Workshop on Rendering, 7-20.

[28]

SOCOLINSKY, D. 2000. Dynamic range constraints in image fusion and visualization. In Proc. Signal and Image Processing.

[29]

TOMASI, C., AND MANDUCHI, R. 1998. Bilateral filtering for gray and color images. In Proc. IEEE Int. Conf. on Computer Vision, 836-846.

Digital Library

[30]

TUMBLIN, J., AND RUSHMEIER, H. 1993. Tone reproduction for realistic images. IEEE Comp. Graphics & Applications 13, 6, 42-48.

Digital Library

[31]

TUMBLIN, J., AND TURK, G. 1999. Lcis: A boundary hierarchy for detail-preserving contrast reduction. In Proceedings of SIGGRAPH 99, ACM SIGGRAPH / Addison Wesley Longman, Los Angeles, California, Computer Graphics Proceedings, Annual Conference Series, 83-90.

Digital Library

[32]

TUMBLIN, J., HODGINS, J., AND GUENTER, B. 1999. Two methods for display of high contrast images. ACM Trans. on Graphics 18, 1, 56-94.

Digital Library

[33]

TUMBLIN, J. 1999. Three methods of detail-preserving contrast reduction for displayed images. PhD thesis, College of Computing Georgia Inst. of Technology.

Digital Library

[34]

WARD, G. J. 1994. The radiance lighting simulation and rendering system. In Proceedings of SIGGRAPH 94, ACM SIGGRAPH / ACM Press, Orlando, Florida, Computer Graphics Proceedings, Annual Conference Series, 459-472.

Digital Library

[35]

YANG, D., GAMAL, A. E., FOWLER, B., AND TIAN, H. 1999. A 640x512 cmos image sensor with ultrawide dynamic range floating-point pixel-level adc. IEEE Journal of Solid State Circuits 34, 12 (Dec.), 1821-1834.

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Index Terms

Fast bilateral filtering for the display of high-dynamic-range images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
  2. Computer graphics
    1. Image manipulation
    2. Rendering

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cover image ACM Conferences

SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

July 2002

574 pages

ISBN:1581135211

DOI:10.1145/566570

Conference Chair:
Tom Appolloni
Harris Corporation

Copyright © 2002 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 July 2002

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SIGGRAPH02: The 29th International Conference on Computer Graphics and Interactive Techniques

July 23 - 26, 2002

Texas, San Antonio

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SIGGRAPH '02 Paper Acceptance Rate 67 of 358 submissions, 19%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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