基于失真度估计的无参考视频质量评价

为了提高视频质量评价的精确度和通用性,提出了一种基于失真度估计的无参考视频质量评价方法。首先,利用邻近像素点之间灰度差值的数理统计特性计算局部失真度,通过对视频进行高斯滤波后的细节损失进行计算得到全局失真度,再结合这两者估计视频整体的失真度;然后,通过帧内预测和帧间预测计算视频复杂度;最后,利用视频失真度和复杂度得到视频客观质量。实验结果表明,用本文方法可以获得很好的精确度,该方法具有广泛的通用性。

No-reference video quality assessment based on distortion estimation

In order to increase the prediction accuracy and generality of video quality assessment,a no-reference video quality assessment method based on distortion estimation is proposed.In this method,first,the local distortion is calculated using the statistical characteristics of the difference between contiguous pixels and the global distortion is calculated by measuring the detail loss of the video after Gaussian Filtering;then,the video distortion is estimated by the combination of the local and global distortions.Second,the video complexity is calculated through intra and inter frame prediction.Finally,the objective video quality is obtained utilizing both the video distortion and complexity.Experiment results show that using the proposed method can achieve better accuracy and generality compared with other methods.