How Bright Is the Moon? Recovering and Using Absolute Luminance Values from Internet Images

The human visual system differs from a camera in various aspects such as spatial resolution, brightness sensitivity, dynamic range, or color perception. Several of these effects depend on the absolute luminance distribution entering the eye which is not readily available from camera images. In this paper, we argue that absolute luminance is important for correct image reproduction. We investigate to which extent it is possible to recover absolute luminance values for any pixel in images taken from the Internet, extending previous studies on camera calibration in laboratory settings that are much less challenging. We use the Moon as a calibration target to estimate the remaining error. We then evaluate this error in the context of perceptual tonemapping for low dynamic range images.

[1]  S. Hecht THE RELATION BETWEEN VISUAL ACUITY AND ILLUMINATION , 1928, The Journal of general physiology.

[2]  Hans-Peter Seidel,et al.  Perceptual effects in real-time tone mapping , 2005, SCCG '05.

[3]  B. Hapke An Improved Theoretical Lunar Photometric Function. , 1966 .

[4]  Andrew J. Davison,et al.  Active Matching , 2008, ECCV.

[5]  Donald P. Greenberg,et al.  Physically-based glare effects for digital images , 1995, SIGGRAPH.

[6]  Donald P. Greenberg,et al.  A model of visual adaptation for realistic image synthesis , 1996, SIGGRAPH.

[7]  Stephen Lin,et al.  Radiometric Calibration from Noise Distributions , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  John Hart,et al.  ACM Transactions on Graphics: Editorial , 2003, SIGGRAPH 2003.

[9]  Ayan Chakrabarti,et al.  An Empirical Camera Model for Internet Color Vision , 2009, BMVC.

[10]  Francisco Martínez-Verdú,et al.  Characterization of a digital camera as an absolute tristimulus colorimeter , 2003, IS&T/SPIE Electronic Imaging.

[11]  Dietmar Wüller,et al.  The usage of digital cameras as luminance meters , 2007, Electronic Imaging.

[12]  H. Kieffer,et al.  The Spectral Irradiance of the Moon , 2005 .

[13]  Shree K. Nayar,et al.  Priors for Large Photo Collections and What They Reveal about Cameras , 2008, ECCV.

[14]  Frédo Durand,et al.  A physically-based night sky model , 2001, SIGGRAPH.

[15]  D. C. Ellis Illumination Received from the Moon , 1966 .

[16]  Robert L. Stevenson,et al.  Dynamic range improvement through multiple exposures , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[17]  Shree K. Nayar,et al.  Modeling the space of camera response functions , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Erik Reinhard,et al.  Photographic tone reproduction for digital images , 2002, ACM Trans. Graph..

[19]  Yoav Y. Schechner,et al.  Addressing radiometric nonidealities: a unified framework , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[20]  Michael Vollmer,et al.  Lunar eclipse photometry: absolute luminance measurements and modeling. , 2008, Applied optics.

[21]  Marc Pollefeys,et al.  Robust Radiometric Calibration and Vignetting Correction , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  Heung-Yeung Shum,et al.  Radiometric calibration from a single image , 2004, CVPR 2004.

[23]  B. Buratti,et al.  THE LUNAR OPPOSITION SURGE : OBSERVATIONS BY CLEMENTINE , 1996 .

[24]  S. Shlaer THE RELATION BETWEEN VISUAL ACUITY AND ILLUMINATION , 1937, The Journal of general physiology.

[25]  Christine D. Piatko,et al.  A visibility matching tone reproduction operator for high dynamic range scenes , 1997, SIGGRAPH '97.

[26]  S. Darula,et al.  CIE GENERAL SKY STANDARD DEFINING LUMINANCE DISTRIBUTIONS , 2002 .

[27]  Frédo Durand,et al.  Interactive Tone Mapping , 2000, Rendering Techniques.