@InProceedings{8903172,
  author = {M. Bhat and J. -M. Thiesse and P. L. Callet},
  booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
  title = {HVS based perceptual pre-processing for video coding},
  year = {2019},
  pages = {1-5},
  abstract = {This paper proposes a perceptually optimized preprocessing technique using state of the art Human Visual System (HVS) model suitable for video compression to reduce bitrate at the same quality. Visual masking models to accurately account HVS has been considered. Frequencies which are visually indistinguishable and need not be encoded are removed within visibility threshold. The scheme is optimized for multiple viewing distances to consider real-world scenarios. Extensive subjective and objective evaluation has been conducted to evaluate proposed pre-processing. Investigation shows significant bit-rate savings compared to a professional real time HEVC video encoder.},
  keywords = {data compression;video coding;visual masking models;perceptually optimized preprocessing technique;HVS based perceptual pre-processing;multiple viewing distances;video compression;human visual system model;video coding;professional real time HEVC video encoder;Visualization;Encoding;Channel models;Streaming media;Sensitivity;Adaptation models;Visual systems;Pre-processing;Contrast sensitivity function;Subjective test;Human Visual system;Visual masking},
  doi = {10.23919/EUSIPCO.2019.8903172},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533716.pdf},
}

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