Color constancy: a method for recovering surface spectral reflectance
Readings in computer vision: issues, problems, principles, and paradigms
A model of visual adaptation for realistic image synthesis
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A multiscale model of adaptation and spatial vision for realistic image display
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Tone Reproduction for Realistic Images
IEEE Computer Graphics and Applications
Generalized Mosaicing: Wide Field of View Multispectral Imaging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
iCAM06: A refined image appearance model for HDR image rendering
Journal of Visual Communication and Image Representation
Display considerations for night and low-illumination viewing
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization
A fast approximation of the bilateral filter using a signal processing approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Increasing intensity resolution on a single display using spatio-temporal mixing
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
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In this paper we present a perceptually based algorithm for modeling the color shift that occurs for human viewers in low-light scenes. Known as the Purkinje effect, this color shift occurs as the eye transitions from photopic, cone-mediated vision in well-lit scenes to scotopic, rod-mediated vision in dark scenes. At intermediate light levels vision is mesopic with both the rods and cones active. Although the rods have a spectral response distinct from the cones, they still share the same neural pathways. As light levels decrease and the rods become increasingly active they cause a perceived shift in color. We model this process so that we can compute perceived colors for mesopic and scotopic scenes from spectral image data. We also describe how the effect can be approximated from standard high dynamic range RGB images. Once we have determined rod and cone responses, we map them to RGB values that can be displayed on a standard monitor to elicit the intended color perception when viewed photopically. Our method focuses on computing the color shift associated with low-light conditions and leverages current HDR techniques to control the image's dynamic range. We include results generated from both spectral and RGB input images.