Physically-based glare effects for digital images
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A model of visual adaptation for realistic image synthesis
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A physically-based night sky model
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
Modeling the Space of Camera Response Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Addressing Radiometric Nonidealities: A Unified Framework
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Perceptual effects in real-time tone mapping
Proceedings of the 21st spring conference on Computer graphics
Robust Radiometric Calibration and Vignetting Correction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Priors for Large Photo Collections and What They Reveal about Cameras
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Radiometric calibration from a single image
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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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.