A Novel Objective Quality Assessment for Super-Resolution Images

Lei Shu

Abstract:

A novel objective quality assessment method is proposed for super-resolution images in
this manuscript. We not only estimate the preserved information of each spatial location
in the super-resolution image by structural similarity, but also compute the local phase
coherence (LPC) with which we can detect the image blur in the super-resolution image.
After the preserved structural information and blur information is obtained, an overall
evaluation of visual quality of the super-resolution image can be computed. Experimental
results show that the proposed objective quality assessment method can be used in the
real applications with the original high-resolution images unavailable.