Gradient Domain Tone Mapping of High Dynamic Range Videos

Lee, Chul

doi:10.1109/icip.2007.4379346

Cited by 25 publications

(19 citation statements)

References 3 publications

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“…The transformation may vary depending on how the TMO is constructed. For example, there are examples of methods that perform the compression in the gradient [89,148,254] or contrast [167] domain. Also, a number of methods attempt to model the appearance of colors [6,86,129,138,198,212].…”

Section: Pre-processingmentioning

confidence: 99%

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The high dynamic range imaging pipeline : Tone-mapping, distribution, and single-exposure reconstruction

Eilertsen¹

2018

Linköping Studies in Science and Technology. Dissertations

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Section: Pre-processingmentioning

confidence: 99%

“…The per-pixel filtering can also employ an edge-preserving filter [32], so that filtering is restricted at large temporal gradients. Finally, the local filtering can be performed over motion compensated temporal pixels, using block matching [148] or optical flow [20].…”

Section: Temporal Aspectsmentioning

confidence: 99%

The high dynamic range imaging pipeline : Tone-mapping, distribution, and single-exposure reconstruction

Eilertsen¹

2018

Linköping Studies in Science and Technology. Dissertations

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“…Lee et al (2008) [23] proposed another backward compatible algorithm where the base 8-bit TM stream is created using a temporally coherent TMO [22]. Using the dual-loop encoding scheme, the TM stream is encoded and decoded to create a ratio stream similar to [47].…”

Section: Lee and Kim (Rate)mentioning

confidence: 99%

Objective and subjective evaluation of High Dynamic Range video compression

Mukherjee

Debattista

Bashford-Rogers

et al. 2016

Signal Processing: Image Communication

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Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription. AbstractA number of High Dynamic Range (HDR) video compression algorithms proposed to date have either been developed in isolation or only-partially compared with each other. Previous evaluations were conducted using quality assessment error metrics, which for the most part were developed for qualitative assessment of Low Dynamic Range (LDR) videos. This paper presents a comprehensive objective and subjective evaluation conducted with six published HDR video compression algorithms. The objective evaluation was undertaken on a large set of 39 HDR video sequences using seven numerical error metrics namely: PSNR, logPSNR, puPSNR, puSSIM, Weber MSE, HDR-VDP and HDR-VQM. The subjective evaluation involved six short-listed sequences and two ranking-based subjective experiments with hidden reference at two different output bitrates with 32 participants each, who were tasked to rank distorted HDR video footage compared to an uncompressed version of the same footage. Results suggest a strong correlation between the objective and subjective evaluation. Also, non-backward compatible compression algorithms appear to perform better at lower output bit rates than backward compatible algorithms across the settings used in this evaluation.

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“…A high number of successful tone mapping algorithms have been implemented on software platforms [12,[17][18][19][20][21]26,[28][29][30][31][32]. For software implementations, the tone mapping operator is applied on the stored image using a programmed application on a PC workstation.…”

Section: Tone Mapping Implementations: Hardware Vs Softwarementioning

confidence: 99%

Hardware Implementation of an Automatic Rendering Tone Mapping Algorithm for a Wide Dynamic Range Display

Ofili

Glozman

Yadid-Pecht

2013

JLPEA

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Tone mapping algorithms are used to adapt captured wide dynamic range (WDR) scenes to the limited dynamic range of available display devices. Although there are several tone mapping algorithms available, most of them require manual tuning of their rendering parameters. In addition, the high complexities of some of these algorithms make it difficult to implement efficient real-time hardware systems. In this work, a real-time hardware implementation of an exponent-based tone mapping algorithm is presented. The algorithm performs a mixture of both global and local compression on colored WDR images. An automatic parameter selector has been proposed for the tone mapping algorithm in order to achieve good tone-mapped images without manual reconfiguration of the algorithm for each WDR image. Both algorithms are described in Verilog and synthesized for a field programmable gate array (FPGA). The hardware architecture employs a combination of parallelism and system pipelining, so as to achieve a high performance in power consumption, hardware resources usage and processing speed. Results show that the hardware architecture produces images of good visual quality that can be compared to software-based tone mapping algorithms. High peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) scores were obtained when the results were compared with output images obtained from software simulations using MATLAB.

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Gradient Domain Tone Mapping of High Dynamic Range Videos

Cited by 25 publications

References 3 publications

The high dynamic range imaging pipeline : Tone-mapping, distribution, and single-exposure reconstruction

The high dynamic range imaging pipeline : Tone-mapping, distribution, and single-exposure reconstruction

Objective and subjective evaluation of High Dynamic Range video compression

Hardware Implementation of an Automatic Rendering Tone Mapping Algorithm for a Wide Dynamic Range Display

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