NDLI: Real-time dynamic tone-mapping operator on GPU

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Real-time dynamic tone-mapping operator on GPU

Content Provider	Springer Nature Link
Author	Akil, Mohamed Grandpierre, Thierry Perroton, Laurent
Copyright Year	2011
Abstract	This article presents the parallel implementation on a GPU of a real-time dynamic tone-mapping operator. The operator we describe in this article is generic and may be used by any application. However, the goal of our work is to integrate this operator into the graphic rendering process of a car driving simulator; thus, we studied its real-time implementation. The tone-mapping operator outputs a low dynamic range (LDR) image keeping as much as possible the contrast and luminance of the original input high dynamic range (HDR) image. It performs the mapping between the luminances of the original scene to the output device’s display values. We address the problem of mapping HDR images to standard displays. In this case, the tone mapping compresses the luminances ratio. Several tone-mapping operators can be found in the literature as well as some parallelizations. However, they use either static or adaptations of static operators. We have adapted the dynamic operator of Irawan and parallelized it on GPU. Algorithmic optimizations have been performed, and we have explored the different strategies of repartition of the computation among the CPU and the GPU. We have chosen to implement on the GPU the changes between the color spaces and the interpolation of the histogram which are the most time-consuming steps on the CPU (1–2 s per image 1,002 × 666). All of these optimizations lead to an increase of the processing rate and the number of HDR-quality images displayed to LDR per second. This operator has been implemented on a RISC processor Pentium 4 at 3.6 GHz and a GPU Nvidia 8800 GTX (728MB, 518GFLOPS). The execution speed has been multiplied by a factor of 15 compared to the naive implementation of the algorithm. The display rate reaches 30 images per second, which fulfills our goal for real-time video rate of 25 images per second.
Starting Page	165
Ending Page	172
Page Count	8
File Format	PDF
ISSN	18618200
Journal	Journal of Real-Time Image Processing
Volume Number	7
Issue Number	3
e-ISSN	18618219
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-02-22
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Tone mapping Real-time implementation GPU Signal, Image and Speech Processing Multimedia Information Systems Computer Graphics Pattern Recognition Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Information Systems

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