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A Simplified Human Vision Model Applied to a Blocking Artifact Metric

  • Hantao Liu
  • Ingrid Heynderickx
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)

Abstract

A novel approach towards a simplified, though still reliable human vision model based on the spatial masking properties of the human visual system (HVS) is presented. The model contains two basic characteristics of the HVS, namely texture masking and luminance masking. These masking effects are implemented as simple spatial filtering followed by a weighting function, and are efficiently combined into a single visibility coefficient. This HVS model is applied to a blockiness metric by using its output to scale the block-edge strength. To validate the proposed model, its performance in the blockiness metric is determined by comparing it to the same blockiness metric having different HVS-based models embedded. The results show that the proposed model is indeed simple, without compromising its accuracy.

Keywords

Human vision model image quality assessment luminance masking texture masking blockiness metric 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Hantao Liu
    • 1
  • Ingrid Heynderickx
    • 1
    • 2
  1. 1.Department of Mediamatics, Delft University of Technology, P.O. Box 5031, 2628 CD, DelftThe Netherlands
  2. 2.Group Visual Experiences, Philips Research Laboratories, Prof. Holstlaan 4, 5656 AA, EindhovenThe Netherlands

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