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A Scalable Video Coding Algorithm Based on Human Visual System and HSI Color Space

  • Han Dan Cen
  • Wenhui Zhang
  • Song Yang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 220)

Abstract

On the basis of theory and practice, the sensitivity of human eye is unbalanced to different color objects. Traditional video coding mainly focused on considering the statistical property and structure of video image as well as compression on the source material itself, while ignoring the effective use of the human visual characteristics. In the view of this, a new scalable video coding algorithm considering color visual sensitivity based on human visual system (HVS) was proposed. The experimental results show that this new algorithm can effectively reduce the distortion of sensitive color objects, so as to improve the color quality of the video image.

Keywords

Scalable video coding Sensitivity color HVS Video compression 

Notes

Acknowledgments

This work was supported by the “211 project” of Communication University of China.

References

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    ITU-T (1999) Recommendation P.910, subjective video quality assessment methods for multimedia applications. Stand Descr 28(3):267–269Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Information Engineering SchoolCommunication University of ChinaBeiJingChina

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