Corpus ID: 218673851

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

@article{Prangnell2020SpatiotemporalAQ,
  title={Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4: 4: 4 Data},
  author={Lee Prangnell and Victor Sanchez},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.07928}
}
  • Lee Prangnell, Victor Sanchez
  • Published 2020
  • Computer Science, Engineering
  • ArXiv
  • Due to the spectral sensitivity phenomenon of the Human Visual System (HVS), the color channels of raw RGB 4:4:4 sequences contain significant psychovisual redundancies; these redundancies can be perceptually quantized. The default quantization systems in the HEVC standard are known as Uniform Reconstruction Quantization (URQ) and Rate Distortion Optimized Quantization (RDOQ); URQ and RDOQ are not perceptually optimized for the coding of RGB 4:4:4 video data. In this paper, we propose a novel… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 31 REFERENCES

    Coding block-level perceptual video coding for 4:4:4 data in HEVC

    VIEW 6 EXCERPTS

    Adaptive weighted distortion optimization for video coding in RGB color space

    VIEW 2 EXCERPTS

    Region Adaptive Inter-Color Prediction Approach to RGB 4:4:4 Intra Coding

    • Lili Zhao, Mingjing Ai
    • Computer Science
    • 2010 Fourth Pacific-Rim Symposium on Image and Video Technology
    • 2010
    VIEW 1 EXCERPT

    Block Adaptive Inter-Color Compensation Algorithm for RGB 4:4:4 Video Coding

    VIEW 3 EXCERPTS

    High-Fidelity RGB Video Coding Using Adaptive Inter-Plane Weighted Prediction

    VIEW 1 EXCERPT

    Guided Cross-Component Prediction for RGB Video Coding

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Motion Compensated Prediction and Interpolation Filter Design in H.265/HEVC

    VIEW 1 EXCERPT

    Image quality assessment: from error visibility to structural similarity