A weighted full-reference image quality assessment based on visual saliency

作者：Wen, Yang; Li, Ying; Zhang, Xiaohua; Shi, Wuzhen; Wang, Lin; Chen, Jiawei^*

来源：Journal of Visual Communication and Image Representation, 2017, 43: 119-126.

DOI：10.1016/j.jvcir.2016.12.005

• Visual saliency computation
• Weighted image quality assessment
• Human visual system

In full reference image quality assessment (IQA), the images without distortion are usually employed as reference, while the structures in both reference images and distorted images are ignored and all pixels are equally treated. In addition, the role of human visual system (HVS) is not taken account into subjective IQA metric. In this paper, a weighted full-reference image quality metric is proposed, where a weight imposed on each pixel indicates its importance in IQA. Furthermore, the weights can be estimated via visual saliency computation, which can approximate the subjective IQA via exploiting the HVS. In the experiments, the proposed metric is compared with several objective IQA metrics on LIVE release 2 and TID 2008 database. The results demonstrate that SROCC and PLCC of the proposed metric are 0.9647 and 0.9721, respectively,which are higher than other methods and it only takes 427.5 s, which is lower than that of most other methods.

• 出版日期2017-2
• 单位西安电子科技大学; 哈尔滨工业大学; 西北大学; 商洛学院