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Due to the spectral sensitivity phenomenon of the Human Visual System (HVS),the color channels of raw RGB 4:4:4 sequences contain significant psychovisualredundancies; these redundancies can be perceptually quantized. The defaultquantization systems in the HEVC standard are known as Uniform ReconstructionQuantization (URQ) and Rate Distortion Optimized Quantization (RDOQ); URQ andRDOQ are not perceptually optimized for the coding of RGB 4:4:4 video data. Inthis paper, we propose a novel spatiotemporal perceptual quantization techniquenamed SPAQ. With application for RGB 4:4:4 video data, SPAQ exploits HVSspectral sensitivity-related color masking in addition to spatial masking andtemporal masking; SPAQ operates at the Coding Block (CB) level and thePrediction Unit (PU) level. The proposed technique perceptually adjusts theQuantization Step Size (QStep) at the CB level if high variance spatial data inG, B and R CBs is detected and also if high motion vector magnitudes in PUs aredetected. Compared with anchor 1 (HEVC HM 16.17 RExt), SPAQ considerablyreduces bitrates with a maximum reduction of approximately 80%. The MeanOpinion Score (MOS) in the subjective evaluations, in addition to the SSIMscores, show that SPAQ successfully achieves perceptually lossless compressioncompared with anchors.

Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4:4:4 Data