A Scalable Video Coding Algorithm Based on Human Visual System and HSI Color Space
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.
KeywordsScalable video coding Sensitivity color HVS Video compression
This work was supported by the “211 project” of Communication University of China.
- 1.Mi X (1991) MPEG (ISO/IEC JTCI/SC29/WG11) coding of moving picture and associated audio for digital storage media at up to 1.5 Mbit/s. 14(3):11172–11174Google Scholar
- 2.Robers MA (1997) “SNR scalable video coder using progressive transmission of DCT coefficients,” Master’s thesis, Northwestern University, Department of Electrical and Computer Engineering 36:262–264Google Scholar
- 3.Wilson D, Ghanhari M (1996) Transmission of SNR scalable two-layer MPEG-2 coded video through ATM networks’. In: 7th international workshop on packet video, vol 19(7), pp 37–42Google Scholar
- 4.ITU-T (1999) Recommendation P.910, subjective video quality assessment methods for multimedia applications. Stand Descr 28(3):267–269Google Scholar