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.
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Acknowledgments
This work was supported by the “211 project” of Communication University of China.
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© 2013 Springer-Verlag London
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Cen, H.D., Zhang, W., Yang, S. (2013). A Scalable Video Coding Algorithm Based on Human Visual System and HSI Color Space. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 220. Springer, London. https://doi.org/10.1007/978-1-4471-4844-9_91
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DOI: https://doi.org/10.1007/978-1-4471-4844-9_91
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