Image quality assessment scheme based on gradient similarity and color distortion

Abstract

Image quality assessment (IQA) is important for numerous image processing measures, such as reproduction, restoration, enhancement, compression and acquisition. In this paper, a full-reference scheme for image quality assessment is proposed, which supplies more flexibility than previous methods in using edge similarity measure and color distortion. First, test and reference images are transformed using Gradient Scharr operator 5 × 5 and 3 × 3 mask. Secondly, we compute color distortion using YIQ color space. Then, the difference between the two images is calculated, which can be used to compute the whole error. Experimental comparisons demonstrate the effectiveness of the proposed method.