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

机译：基于视觉显着性的加权全参考图像质量评估

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摘要

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.(C) 2016 Elsevier Inc. All rights reserved.
机译：在完全参考图像质量评估（IQA）中，通常将不失真的图像用作参考，同时忽略参考图像和失真图像中的结构，并平等对待所有像素。此外，人类视觉系统（HVS）的作用未纳入主观IQA度量标准。本文提出了一种加权全参考图像质量度量，其中对每个像素施加的权重表示其在IQA中的重要性。此外，可以通过视觉显着性计算来估计权重，视觉显着性计算可以通过利用HVS近似主观IQA。在实验中，将建议的指标与LIVE版本2和TID 2008数据库上的几个客观IQA指标进行比较。结果表明，提出的指标的SROCC和PLCC分别为0.9647和0.9721，高于其他方法，仅花费427.5 s，低于大多数其他方法。（C）2016 Elsevier Inc.版权所有保留。

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    Wen Yang; Li Ying; Zhang Xiaohua; Shi Wuzhen; Wang Lin; Chen Jiawei;

  • 作者单位

    Shangluo Univ, Sch Elect Informat & Elect Engn, Shangluo 726000, Peoples R China;

    Shangluo Univ, Sch Elect Informat & Elect Engn, Shangluo 726000, Peoples R China;

    Xidian Univ, Int Res Ctr Intelligent Percept & Computat,Minist, Int Collaborat Joint Lab Intelligent Percept & Co, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China;

    Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China;

    Northwest Univ, Sch Informat Sci & Technol, Xian 710127, Peoples R China;

    Xidian Univ, Int Res Ctr Intelligent Percept & Computat,Minist, Int Collaborat Joint Lab Intelligent Percept & Co, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China;

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  • 正文语种 eng
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  • 关键词

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

    机译：视觉显着度计算;加权图像质量评估;人眼视觉系统;

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