Blind Image Quality Assessment for Measuring Image Blur

Abstract

Blind image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. In this paper, we present a no-reference blur metric for images and video using information contained in the image itself. We look at the sharpness of the sharpest edges in the blurred image, which contains information about the blurring, and is not on the image contents. The experimental results are used to justify the validity of our approach.