计算机应用 ›› 2012, Vol. 32 ›› Issue (07): 1882-1884.DOI: 10.3724/SP.J.1087.2012.01882

• 图形图像技术 • 上一篇    下一篇

基于人眼视觉特性的图像视觉质量评价方法

胡许明,张登福,南栋,陈雕   

  1. 空军工程大学 工程学院,西安710038
  • 收稿日期:2011-12-19 修回日期:2012-02-23 发布日期:2012-07-05 出版日期:2012-07-01
  • 通讯作者: 胡许明
  • 作者简介:胡许明(1987-),男,湖南宁乡人,硕士研究生,主要研究方向:无线局域网安全、图像分析;张登福(1968-),男,四川资阳人,教授,博士,主要研究方向:智能信息处理、图像分析、网络安全;南栋(1987-),男,陕西西安人,博士研究生,主要研究方向:图像分析、图像去噪;陈雕(1987-),男,福建莆田人,硕士研究生,主要研究方向:智能信息处理。

Method of image visual quality evaluation based on human visual characteristics

HU Xu-ming,ZHANG Deng-fu,NAN Dong,CHEN Diao   

  1. Engineering College, Air Force Engineering University, Xi'an Shaanxi 710038, China
  • Received:2011-12-19 Revised:2012-02-23 Online:2012-07-05 Published:2012-07-01
  • Contact: HU Xu-ming

摘要: 为了更好地评价图像质量,在研究人眼视觉模型和人眼视觉特性的基础上,提出一种自顶向下的无参考图像客观质量评价方法。对待评价图像进行分块,并在每个色彩通道中对子块进行计算,输出平均视觉特性值,使评价模型既符合客观质量评价的优点,又兼顾人眼视觉感受,符合人眼主、客观一致性。选取美国TEXAS大学LIVE的图像数据库中图像的主观评价值对方法进行了实验证明,实验结果表明所提方法与主观评价取得了较好的一致性。

关键词: 视觉模型, 视觉特性, 主观质量评价, 客观质量评价

Abstract: To better evaluate image quality, the authors proposed a top-down no-reference image objective quality evaluation method based on the research of human visual model and human visual characteristics. The new method divided the target image into segments and calculated every segment in different color channel, then output the average visual property values. It made evaluation model not only be consistent with the advantage of objective quality assessment, but also took into account the human visual experience. It was consistent with the objectivity and subjectivity of human eyes. The validated results of image subjective evaluation on database of TEXAS University of United States prove that the proposed method gets better consistency with subjective assessment.

Key words: visual model, visual characteristics, subjective quality assessment, objective quality assessment

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