Information-based reduced reference image quality assessment incorporating non-tensor product wavelet filter banks
作者: Yong DingYuan ZhangXiaolang YanAndrey S. Krylov
作者单位: 1Institute of VLSI Design, Zhejiang University
2Laboratory of Mathematical Methods of Image Processing, Lomonosov Moscow State University
刊名: Chinese Science Bulletin, 2014, Vol.59 (16), pp.1917-1924
来源数据库: Springer Nature Journal
DOI: 10.1007/s11434-014-0250-5
关键词: Image quality assessmentHuman visual systemInformation entropyWavelet filter
英文摘要: Abstract(#br)To achieve the better performance of image quality assessment, this paper develops an information-based scheme. First, visual maps that contain visual information are extracted by non-tensor product wavelet filter banks at different scales. Subsequently, to model visual difference (VD) caused by image degradations, the variation of information entropy between distorted and reference images is employed. Then the final visual quality is calculated with the VDs at each scale. In experiments, evaluation results show that it performs very well in terms of high accuracy of image quality measurement as well as low data rate.
全文获取路径: Springer Nature  (合作)
影响因子:1.319 (2012)

  • reference 基准电压源
  • quality 品质
  • product 产物
  • tensor 张量
  • wavelet 波涟
  • assessment 评价
  • image 
  • reduced 减缩的
  • banks 管束
  • based 基于