Full Reference Video Quality Assessment Metric on Base Human Visual System Consistent with PSNR

Abstract

Quality assessment of video compression with a focus upon the perceptibly of distortions introduced by compression from the point of view of human perception is an important area of video quality research. Although the subjective assessment of video quality is more accurate regarding human perception of video than objective, it necessitates the very large design space of the subjective experiment. As the result in recent years, there has been a growing interest in the development of improved models of objective video quality. Based on the researches of fundamental limit to human vision, here we offer experiments of visual perception and measure the characteristics of the human visual systems on the Research of the characteristics of the visual systems MTUCI software and test equipment we created. Also, we represent a new quality measuring method we developed, which takes into account the features of the Human Visual System and will be represented comparison estimates this method with current models used by quality assessment reference, and with subjective scores.

Keywords

• psnr
• hvs
• quality assessment
• full-reference quality assessment
• quality metric
• subjective quality