基于非局部结构张量的ＳＳＩＭ图像质量评价方法.

For the weakness of the image quality assessment methods based on local computation, this paper proposed a nonlocal structure tensor based SSIM image quality assessment method. The primal eigenvalue of nonlocal structure tensor at each pixel well reflected the structural strength information, especially the details information such as texture and so on. And the orientation of the primal eignvector reflected the structural direction information. This paper used the similarity of the primal eigenvalues to describe the consistency of the structural strength between the reference image and the distorted image, and the cosine of the intersection angle betw een the primal eignveetors to characterize the similarity of the structural direction. Numerical experiment shows that the average computing time is 778.43 s by using this method to assess the images in TID2008 database. And the assessment result is close to the subjective assessment. [ABSTRACT FROM AUTHOR]