A “display independent” high dynamic range television system

Cotton, Andrew S.; Borer, Tim

doi:10.1049/ibc.2015.0005

Cited by 38 publications

(30 citation statements)

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“…Therefore, an interesting research area which has recently gained traction following the HDR/WCG call for proposals to would be to see how non-backward compatible compression algorithms (including the ones presented in this work) can be adapted to perform with HEVC Main-10 profile [43] for even lower bitrates. Subsequently, the modified non-backward compatible algorithms can be evaluated against the recently adopted Perceptual Quantizer algorithm (SMPTE ST 2084) [31] and Hybrid Log-Gamma algorithm [9] to test and compare their HDR reconstruction performance such as has been considered by François et al [13]. Efficient use of available bandwidth might finally lead to the widespread commercial adoption of HDR.…”

Section: Discussionmentioning

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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Section: Discussionmentioning

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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“…Examples of one-stream HDR video compression include HDRv [23], adaptive LogLuv [24], PQ [25], HLG [26] and the Power Transfer Function method [27].…”

Section: Compressionmentioning

confidence: 99%

“…They proposed a benchmark, Ultra HD Premium, above which they were happy to certify that the platform was suitable for a "premium 4K experience". To satisfy manufacturers of both LED and OLED HDR displays, the UHD Alliance proposed two definitions of HDR There are currently three proposals to support consumer HDR in this first wave: HDR10 [12], HLG [26] and Dolby Vision [45]. HDR10 is based on a 10-bit PQ curve [25] which is part of SMPTE standard ST.2084 [12].…”

Section: The Present: Consumer Hdrmentioning

confidence: 99%

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HDR video past, present and future: A perspective

Chalmers

Debattista

2017

Signal Processing: Image Communication

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High Dynamic Range (HDR) video has emerged from research labs around the world and entered the realm of consumer electronics. The dynamic range that a human can see in a scene with minimal eye adaption (approximately 1,000,000 : 1) is vastly greater than traditional imaging technology which can only capture about 8 f-stops (256 : 1). HDR technology, on the other hand, has the potential to capture the full range of light in a scene; even more than a human eye can see. This paper examines the field of HDR video from capture to display; past, present and future. In particular the paper looks beyond the current marketing hype around HDR, to show how HDR video in the future can and, indeed, should bring about a step change in imaging, analogous to the change from black and white to colour.

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“…This Hybrid-Log-Gamma (HLG) method has been developed to provide support for a display independent television system [10], and has also been included in the Arib STD-B67 standard [3].…”

Section: Related Workmentioning

confidence: 99%

An evaluation of power transfer functions for HDR video compression

et al. 2016

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High dynamic range (HDR) imaging enables the full range of light in a scene to be captured, transmitted and displayed. However, uncompressed 32-bit HDR is four times larger than traditional low dynamic range (LDR) imagery. If HDR is to fulfil its potential for use in live broadcasts and interactive remote gaming, fast, efficient compression is necessary for HDR video to be manageable on existing communications infrastructure. A number of methods have been put forward for HDR video compression. However, these can be relatively complex and frequently require the use of multiple video streams. In this paper, we propose the use of a straightforward Power Transfer Function (PTF) as a practical, computationally fast, HDR video compression solution. The use of PTF is presented and evaluated against four other HDR video compression methods. An objective evaluation shows that PTF exhibits improved quality at a range of bitrates and, due to its straightforward nature, is highly suited for real-time HDR video applications.

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A “display independent” high dynamic range television system

Cited by 38 publications

References 0 publications

Objective and subjective evaluation of High Dynamic Range video compression

Objective and subjective evaluation of High Dynamic Range video compression

HDR video past, present and future: A perspective

An evaluation of power transfer functions for HDR video compression

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