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A Fine Granular Scalable Video Coding Algorithm using Frequency Weighting  

김승환 (광주과학기술원 정보통신공학과)
호요성 (광주과학기술원 정보통신공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.40, no.6, 2003 , pp. 124-131 More about this Journal
Abstract
In this paper, we propose a Progressive scalable video coding algorithm using frequency weighting in the DCT domain. Since the human visual system (HVS) can be modeled as a nonlinear point transformation, called the modulation transfer function (MTF), we tan use the frequency weighting matrix to enhance the video image quality. We change this frequency weighting matrix into the frequency shift matrix to apply to the bit-plane coding method for the fine granular scalable (FGS) video coding We also define a new error metric JNDE (just noticeable difference) to measure the perceptual image quality in terms of human vision.
Keywords
FGS; HVS; JND; Frequence Weighting;
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