A No-reference Image Quality Assessment Method Using Local Structure Tensor

A new image quality metric is proposed, it can be used to predict the no-reference image quality. Based on the Singular Value Decomposition (SVD) of the local structure tensor of the image, the noise and blur level is measured using the characteristic of singular value. The performance of the method is evaluated with a publicly available database of images and their quality score. The results show that the proposed no-reference method for the quality prediction of noise and blur images has a comparable performance to the leading metrics available in literature, and also that the method is easier to implement.