چکیده (انگلیسی):

The image quality assessment has been widely used in image processing. Several researches have been
developed and carried considering the Human Visual System (HVS). Under the hypothesis that human
visual perception is extremely adapted to retrieve structural information from a scene, the SSIM index is the
most widely used in this area, which leads to a better correlation with HVS. Despite its robustness the SSIM
presents some limitations in the presence of blur affecting images. In this study, we propose an improved
version of the SSIM for blur image assessment. The idea is to combine gradient based SSIM score with that
of the structural information of the blur. Experimental results show a good performance.