Adaptive reshaper for high dynamic range and wide color gamut video compression

Lu, Taoran; Pu, Fangjun; Yin, Peng; Pytlarz, Jaclyn; Chen, Tao; Husak, Walt

doi:10.1117/12.2236050

Cited by 4 publications

(6 citation statements)

References 6 publications

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“…Fig -5 represents the most appropriate a and b values for (16) to approximate the cloud points in Fig-4(a). Using these values allows us to find the SDR rate of any image, knowing the…”

Section: Gradient-based Models and Proposed Solutionmentioning

confidence: 99%

“…The model (16) and these coefficients allow to estimate the rate of any HDR image using only its gradient and the chosen TMO.…”

Section: Gradient-based Models and Proposed Solutionmentioning

confidence: 99%

“…Therefore, we need to add a new constraint to the minimization problem to obtain an image in the specified SDR range. Moreover, the model for R SDR (16) and D HDR (29) introduce the hidden parameter QP . Therefore, (3) requires an additional optimization over this hidden parameter QP .…”

Section: Rate-distortion Optimizationmentioning

confidence: 99%

“…With the developed models for R SDR (16), D HDR (29), D SDRREF (44) and with the spanning constraint, the minimization problem (5) becomes…”

Section: E R-d Optimization With Sdr Quality Constraintmentioning

confidence: 99%

“…Instead, a scalable video codec encodes an HDR content into a single bitstream that can be decoded by both SDR and HDR displays. In a scalable scheme, the HDR input is first tone mapped with a global tone mapping operator (TMO) into an 8 bit SDR version which is encoded with a legacy codec such as HEVC or H.264 and sent along with metadata [11], [16]. Then, the decoded SDR content is inverse tone mapped to yield the HDR reconstructed content.…”

Section: Introductionmentioning

confidence: 99%

See 4 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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“…Fig -5 represents the most appropriate a and b values for (16) to approximate the cloud points in Fig-4(a). Using these values allows us to find the SDR rate of any image, knowing the…”

Section: Gradient-based Models and Proposed Solutionmentioning

confidence: 99%

“…The model (16) and these coefficients allow to estimate the rate of any HDR image using only its gradient and the chosen TMO.…”

Section: Gradient-based Models and Proposed Solutionmentioning

confidence: 99%

Section: Rate-distortion Optimizationmentioning

confidence: 99%

“…With the developed models for R SDR (16), D HDR (29), D SDRREF (44) and with the spanning constraint, the minimization problem (5) becomes…”

Section: E R-d Optimization With Sdr Quality Constraintmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 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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High Dynamic Range Video Coding

Κωνσταντινίδης

Gadgil

2018

Handbook of Signal Processing Systems

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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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Adaptive reshaper for high dynamic range and wide color gamut video compression

Cited by 4 publications

References 6 publications

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

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

High Dynamic Range Video Coding

The technology behind the exceptional visual experience via high dynamic range

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