Novel no-reference video quality assessment metric with estimation of dynamic range distortion

With advances in video technology, many researchers are interested in video quality assessment to prove the advantage of the developed algorithm. Since human visual system is too complex to be formulated exactly, many researches are in progressing. But, video quality assessment has not enough accuracy now. No-reference video quality assessment is suitable for various video streaming services like real-time streaming and broadcasting system, because it don't require additional network capacity for reference data to perform quality assessment. In this paper, we propose a novel no-reference video quality assessment method with estimation of dynamic range distortion. To measure the performance, we obtain Mean Opinion Score (MOS) data by subject video quality test with the ITU-T P.910 Absolute Category Rating (ACR) method. And, we compared it with proposed algorithm using 3 uncompressed, and 360 encoded video sequences. Experimental results show that suggested algorithm has a high correlation with obtained MOS.