Compression Efficiency Improvement over HEVC Main 10 Profile for HDR and WCG Content

Lu, Taoran; Pu, Fangjun; Yin, Peng; He, Ying; Kerofsky, Louis; Yan, Ye; Gu, Zhouye; Baylon, David M.

doi:10.1109/dcc.2016.99

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…Some of the other methods try to "reshape" the HDR signal to improve the compression efficiency [20,[34][35][36][37]. Figure 6 shows the architecture.…”

Section: C) Single-layer Non-backward-compatible Codecsmentioning

confidence: 99%

The technology behind the exceptional visual experience via high dynamic range

Gadgil

Song

et al. 2018

SIP

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High dynamic range (HDR) technology is rapidly changing today's video landscape by offering spectacular visual experiences. The development in display technology to support higher luminance levels for commercial and consumer electronic devices such as TVs, smartphones, projectors etc., has created an exponential demand for delivering HDR content to viewers. The essential component of the HDR technology is “expanded contrast,” which allows richer black levels and enhanced brightness, providing dramatic contrast that reveals finer details. The use of “wide color gamut” allows wider color spectrum and richer colors providing aesthetically pleasing true-to-life feel. Such visual enhancements clearly establish HDR as one of the most significant upcoming video technologies.In this paper, we review major technical advances in this exciting field of study. Quantization of HDR signals is reviewed in the context of transfer functions that convert optical signals to electrical signals and vice versa. They mainly consist of Perceptual Quantization and Hybrid-Log-Gamma approaches. Compression of HDR content is another broad area of study involving several coding approaches, often categorized in terms of backward-compatibility and single/dual layer methods. Some key industry applications of HDR processing systems are also discussed, followed by some future directions of HDR technology.

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“…Some of the other methods try to "reshape" the HDR signal to improve the compression efficiency [20,[34][35][36][37]. Figure 6 shows the architecture.…”

Section: C) Single-layer Non-backward-compatible Codecsmentioning

confidence: 99%

The technology behind the exceptional visual experience via high dynamic range

Gadgil

Song

et al. 2018

SIP

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show abstract

“…3. Relation between SDR gradient measured on the SDR image and the values given by the proposed SDR gradient estimator (14) and the estimator used in [25] (a)-sum of the vertical and horizontal gradients (9) for 10 slopes (b)-for 20 slopes (c)-for 50 slopes (d)-min of the vertical and horizontal gradients (10) for 20 slopes and (c) show the estimated gradient with two estimators (the proposed gradient estimator given in (9) and (14) and the one proposed in [25] against the actual gradient values per pixel. The proposed model is more reliable whatever the number of slopes.…”

Section: Gradient-based Models and Proposed Solutionmentioning

confidence: 99%

“…The scatter plots in Fig-4 compare the Intra-Frame HEVC rate of the SDR content and its estimate. The SDR rate estimate is based on the gradient (14) in Fig-4(a) and on the entropy of the SDR signal [23] in Fig-4(b). We use the same test set used in Fig-3 Fig-4(a) shows less dispersion than the scatter plots in Fig-4(b).…”

Section: Gradient-based Models and Proposed Solutionmentioning

confidence: 99%

“…W ITH pupil's adaptation, the human eye can see 14 orders of luminance magnitude (going from 10 −6 to 10 8 cd/m 2 or nits [1]) and without pupil's adaptation the human eye can instantaneously see around 5 orders of luminance magnitude [2]. While Standard Dynamic Range (SDR) displays only reproduce 3 orders of magnitude, ranging from 0.1 to 150 cd/m 2 , High Dynamic Range (HDR) aims at capturing and reproducing all visible luminance values.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is shown in [8] that, in the case where the image is quantized with at least 12 bits, this prior quantization has no perceptual impact. This HDR content can then be compressed with a legacy video codec [13], [14]. However, one should not only consider the problem of efficiently compressing HDR content, but also tackle the problem of backward compatibility.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Gradient-Based Tone Mapping for Rate-Distortion Optimized Backward-Compatible High Dynamic Range Compression

Gommelet

Roumy

Guillemot

et al. 2017

IEEE Trans. on Image Process.

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This paper addresses the problem of designing a global tone mapping operator for rate distortion optimized backward compatible compression of high dynamic range (HDR) images. We address the problem of tone mapping design for two different use cases leading to two different minimization problems. The first problem considered is the minimization of the distortion on the reconstructed HDR signal under a rate constraint on the standard dynamic range (SDR) layer. The second problem remains the same minimization with an additional constraint to preserve a good quality for the SDR signal. Both the distortion and rate are expressed as a function of the spatial gradient in HDR images. Experiments show that the proposed rate and distortion models based on the HDR image gradient accurately predict the real image rate and distortion measures. Experimental results show that for the first minimization, the optimal rate-distortion performances are achieved, and that the second optimization yields the best tradeoff between rate-distortion performance and quality preservation of the SDR signal.

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High Dynamic Range Video Coding

Κωνσταντινίδης

Gadgil

2018

Handbook of Signal Processing Systems

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Compression Efficiency Improvement over HEVC Main 10 Profile for HDR and WCG Content

Cited by 8 publications

References 6 publications

The technology behind the exceptional visual experience via high dynamic range

The technology behind the exceptional visual experience via high dynamic range

Gradient-Based Tone Mapping for Rate-Distortion Optimized Backward-Compatible High Dynamic Range Compression

High Dynamic Range Video Coding

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