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
Tone Reproduction for Realistic Images
IEEE Computer Graphics and Applications
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
High dynamic range display systems
ACM SIGGRAPH 2004 Papers
Two-scale tone management for photographic look
ACM SIGGRAPH 2006 Papers
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
A framework for inverse tone mapping
The Visual Computer: International Journal of Computer Graphics
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
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
Dynamic range independent image quality assessment
ACM SIGGRAPH 2008 papers
High-quality brightness enhancement functions for real-time reverse tone mapping
The Visual Computer: International Journal of Computer Graphics
Enhancement of bright video features for HDR displays
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
High dynamic range image hallucination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Local Laplacian filters: edge-aware image processing with a Laplacian pyramid
ACM SIGGRAPH 2011 papers
Multidimensional image retargeting
SIGGRAPH Asia 2011 Courses
Perceptual importance of lighting phenomena in rendering of animated water
ACM Transactions on Applied Perception (TAP)
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Most existing image content has low dynamic range (LDR), which necessitates effective methods to display such legacy content on high dynamic range (HDR) devices. Reverse tone mapping operators (rTMOs) aim to take LDR content as input and adjust the contrast intelligently to yield output that recreates the HDR experience. In this paper we show that current rTMO approaches fall short when the input image is not exposed properly. More specifically, we report a series of perceptual experiments using a Brightside HDR display and show that, while existing rTMOs perform well for under-exposed input data, the perceived quality degrades substantially with over-exposure, to the extent that in some cases subjects prefer the LDR originals to images that have been treated with rTMOs. We show that, in these cases, a simple rTMO based on gamma expansion avoids the errors introduced by other methods, and propose a method to automatically set a suitable gamma value for each image, based on the image key and empirical data. We validate the results both by means of perceptual experiments and using a recent image quality metric, and show that this approach enhances visible details without causing artifacts in incorrectly-exposed regions. Additionally, we perform another set of experiments which suggest that spatial artifacts introduced by rTMOs are more disturbing than inaccuracies in the expanded intensities. Together, these findings suggest that when the quality of the input data is unknown, reverse tone mapping should be handled with simple, non-aggressive methods to achieve the desired effect.