Proceedings of the 27th 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
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Highlight Removal by Illumination-Constrained Inpainting
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Colorization using optimization
ACM SIGGRAPH 2004 Papers
High dynamic range display systems
ACM SIGGRAPH 2004 Papers
Evaluation of tone mapping operators using a High Dynamic Range display
ACM SIGGRAPH 2005 Papers
Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces
ACM Transactions on Applied Perception (TAP)
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
Do HDR displays support LDR content?: a psychophysical evaluation
ACM SIGGRAPH 2007 papers
Ldr2Hdr: on-the-fly reverse tone mapping of legacy video and photographs
ACM SIGGRAPH 2007 papers
Bayesian Methods in Nonlinear Digital Image Restoration
IEEE Transactions on Computers
Radiometric calibration from a single image
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Blind inverse gamma correction
IEEE Transactions on Image Processing
High dynamic range image hallucination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Evaluation of reverse tone mapping through varying exposure conditions
ACM SIGGRAPH Asia 2009 papers
Video viewing preferences for HDR displays under varying ambient illumination
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization
Multidimensional image retargeting
SIGGRAPH Asia 2011 Courses
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To utilize the full potential of new high dynamic range (HDR) displays, a system for the enhancement of bright luminous objects in video sequences is proposed. The system classifies clipped (saturated) regions as lights, reflections or diffuse surfaces using a semi-automatic classifier and then enhances each class of objects with respect to its relative brightness. The enhancement algorithm can significantly stretch the contrast of clipped regions while avoiding amplification of noise and contouring. We demonstrate that the enhanced video is strongly preferred to non-enhanced video, and it compares favorably to other methods.