Abstract
Camera response function (CRF) relates scene irradiance to image intensities. Estimation of CRF is a fundamental and necessary step in many computer vision applications such as the generation of high dynamic image, bidirectional reflectance distribution function (BRDF) estimation etc. In the paper, we compute CRF from a color image and edit images based on CRF to enhance contrast and change exposure of images. This method selects suitable edge windows with two uniform color regions, and is based on the empirical prior on camera response functions. The method uses only one color image rather than a set of images. The experiments show our estimation result is accurate.
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References
Debevec, P., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: Proc. SIGGRAPH 1997, pp. 369–378 (August 1997)
Mann, S., Picard, R.: Being ’undigital’ with digital cameras: Extending dynamic range by combining differently exposed pictures. In: Proceedings of 46th Annual Conference on IS&T, pp. 422–428 (1995)
Mitsunaga, T., Nayar, S.K.: Radiometric Self Calibration. In: Proc. of CVPR, vol. 2, pp. 374–380 (June 1999)
Finlayson, G.D., Hordley, S.D., Hubel, P.M.: Color by Correlation: A Simple, Unifying Framework for Color Constancy. IEEE Trans. on PAMI 23(11), 1209–1221 (2001)
Land, E.H., McCann, J.J.: Lightness and Retinex Theory. JOSA 61(1), 1–11 (1971)
Debevec, P.E.: Rendering Synthetic Objects into Real Scenes. In: Proc. of ACM SIGGRAPH, pp. 189–198 (July 1998)
Chang, Y.-C., Reid, J.: RGB calibration for color image analysis in machine vision. IEEE Trans. on Image Processing, 1414–1422 (February 1996)
Mitsunaga, T., Nayar, S.K.: Radiometric self calibration. In: CVPR, vol. 1 (February 1999)
Kim, S.J., Frahm, J., Pollefeys, M.: Radiometric calibration with illumination change for outdoor scene analysis. In: CVPR (2008)
Lin, S., Zhang, L.: Determining the radiometric response function from a single grayscale image. In: CVPR (2005)
Matsushita, Y., Lin, S.: Radiometric calibration from noise distributions. In: CVPR (2007)
Ng, T.-T., Chang, S.-F., Tsui, M.-P.: Using geometry invariants for camera response function estimation. In: CVPR (2007)
Diaz, M., Sturm, P.: Radiometric Calibration using Photo Collections. In: ICCP (2011)
Luong, Q., Fua, P., Leclerc, Y.: The radiometry of multiple images. IEEE Trans. on PAMI, 19–33 (January 2002)
Mann, S., Picard, R.: On being ’undigital’ with digital cameras: Extending dynamic range by combining differently exposed pictures. In: Proc. IS&T 46th Annual Conference, pp. 422–428 (March 1995)
Mitsunaga, T., Nayar, S.: Radiometric self-calibration. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 374–380 (July 1999)
Grossberg, M., Nayar, S.: Modeling the space of camera response functions. IEEE Transaction on Pattern Analysis and Machine Intelligence 26(10), 1272–1282 (2004)
Lin, S., Gu, J., Yamazaki, S., Shum, H.-Y.: Radiometric calibration from a single image. In: CVPR, pp. 2938–2945 (2004)
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© 2011 Springer-Verlag Berlin Heidelberg
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Fu, L., Qi, Y. (2011). Camera Response Function Estimation and Application with a Single Image. In: Yang, D. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25992-0_21
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DOI: https://doi.org/10.1007/978-3-642-25992-0_21
Publisher Name: Springer, Berlin, Heidelberg
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