Analysis and Modelling of No-Reference Video Quality Assessment
Yuan Tian, Ming Qiao Zhu · 2009
Video processing system may introduce some amounts of distortions in the video signal. It is crucial to measure the video quality blindly for most image processing applications which could not obtain the original image. Different video quality assessment (VQA) methods are analysis in this paper. A state of art in the field of no-reference (NR) VQA is presented. Finally, an ideal NR VQA model is proposed.