Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Detecting Fade Regions In Uncompressed Video Sequences
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Evaluation of tone mapping operators using a High Dynamic Range display
ACM SIGGRAPH 2005 Papers
Compressing and companding high dynamic range images with subband architectures
ACM SIGGRAPH 2005 Papers
Evaluating HDR rendering algorithms
ACM Transactions on Applied Perception (TAP)
iCAM06: A refined image appearance model for HDR image rendering
Journal of Visual Communication and Image Representation
ACM SIGGRAPH 2008 papers
A versatile HDR video production system
ACM SIGGRAPH 2011 papers
ACM SIGGRAPH 2011 papers
Advanced High Dynamic Range Imaging: Theory and Practice
Advanced High Dynamic Range Imaging: Theory and Practice
Subjective Quality Evaluation via Paired Comparison: Application to Scalable Video Coding
IEEE Transactions on Multimedia
Comparison of Four Subjective Methods for Image Quality Assessment
Computer Graphics Forum
Survey and evaluation of tone mapping operators for HDR video
ACM SIGGRAPH 2013 Talks
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Tone Mapping Operators (TMOs) compress High Dynamic Range (HDR) contents to address Low Dynamic Range (LDR) displays. While many solutions have been designed over the last decade, only few of them can cope with video sequences. Indeed, these TMOs tone map each frame of a video sequence separately, which results in temporal incoherency. Two main types of temporal incoherency are usually considered: flickering artifacts and temporal brightness incoherency. While the reduction of flickering artifacts has been well studied, less work has been performed on brightness incoherency. In this paper, we propose a method that aims at preserving spatio-temporal brightness coherency when tone mapping video sequences. Our technique computes HDR video zones which are constant throughout a sequence, based on the luminance of each pixel. Our method aims at preserving the brightness coherency between the brightest zone of the video and each other zone. This technique adapts to any TMO and results show that it preserves well spatio-temporal brightness coherency. We validate our method using a subjective evaluation. In addition, unlike local TMOs, our method, when applied to still images, is capable of ensuring spatial brightness coherency. Finally, it also preserves video fade effects commonly used in post-production.