基于四元数奇异值分解的视频质量评价方法

准确的客观视频质量评价方法对于视频应用发展是至关重要的.近年来,图像质量评价方法已经比较成熟,而视频质量评价方法与图像质量评价方法在性能上的差距仍然较大.本文提出一种基于四元数奇异值分解的客观视频质量评价方法,该方法将像素的亮度、色度、边缘能量和残差能量作为四元数的四个部分,并用熵作为视觉感兴趣系数对块加权.在视频质量...     

Video quality measurement based on 3-D. Singular value decomposition

This paper presents a new full reference Video Quality Assessment (VQA) method based on using 3 Dimensional Singular Value Decomposition (3-D SVD). The method compares the structural properties and the luminance characteristics between the reference and the distorted videos. This aim is obtained by applying 3-D SVD that is singular value decomposition in a 3-D space. In principal, the distorted and the original videos are projected on the singular vectors of the original video. The weighted difference between the reflections coefficients could be considered to quantify the quality of videos. For our experiments, we have used the LIVE and EPFL-PoliMI video quality databases to evaluate the performance of our metric. The results show a great correlation between the measure scores and the subjective scores.