Agrafiotis, Dimitris

Bull, David

Mrak, Marta

Naccari, Matteo

Zhang, Yang

The Human Visual System (HVS) exhibits nonlinear sensitivity to the distortions introduced by lossy image and video coding. This effect is due to the luminance masking, contrast masking and spatial and temporal frequency masking characteristics of the HVS. This paper proposes a novel perception-based quantization to remove non visible information in High Dynamic Range (HDR) color pixels by exploiting luminance masking so that the performance of the High Efficiency Video Coding (HEVC) standard is improved for HDR content. A prole scaling based on a tone-mapping curve computed for each HDR frame is introduced. The quantization step is then perceptually tuned on a transform unit basis. The proposed method has been integrated into the HEVC reference model for the HEVC Range Extensions (HM-RExt) and its performance was assessed by measuring the bitrate reduction against the HMRExt. The results indicate that, the proposed method achieves significant bitrate savings, up to 42.2%, with an average of 12.8%, compared to HEVC at the same quality (based on HDR-VDP-2 and subjective evaluations)

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High dynamic range video compression exploiting luminance masking

Yang Zhang

Matteo Naccari

Dimitris Agrafiotis

Marta Mrak

David R. Bull

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IEEE Transactions on Circuits and Systems for Video Technology

High Dynamic Range Video Compression Exploiting Luminance Masking

https://research-information.bris.ac.uk/files/36057097/idsq_latex.pdf

High dynamic range video compression exploiting luminance masking

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