An Image Enhancement Quality Objective Assessment Method Based on Visual Information Fidelity
YU Hong-shen · Microcomputer Information · 2012
Visual information fidelity is a novel criterion that is based on modeling of natural scene statistics,image distortion and the human visual distortion.Traditionally,image QA algorithms interpret image quality as fidelity or similarity with a reference or perfect image.The VIF method is applied on assessing image enhancement effect which takes distorted image as reference image instead of perfect image to assess the quality of enhanced image.It provides clear advantages over the traditional approaches because VIF index is combined with HVS features under certain conditions.In particular,it can be measured only rely on the original image and enhanced image.We validate the performance of our method with an extensive subjective study to show that it outperforms current methods in our testing.