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文章基本信息

  • 标题:Classification, Analysis and Comparison of Non-Blind Image Quality Measure
  • 本地全文:下载
  • 作者:Aqsa Rashid ; Muhammad Khurrum Rahim
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:4
  • 页码:347-360
  • DOI:10.14257/ijsip.2016.9.4.31
  • 出版社:SERSC
  • 摘要:Computation of extent of image visual excellence is of essential importance for many image and video processing appliances, where the objective of quality evaluation algorithms is to automatically evaluate the excellence of images. This paper is the detailed experimental study, classification, analysis and comparison of the subjective non-blind image quality measures. After analysis, evaluation and comparison, these schemes are classified into two groups on the basis of similarity and dissimilarity check. It also scrutinizes the statistical recital of all the quality measures.
  • 关键词:Image Quality Assessment; Subjective Measure; Objective Measure; Blind ; Measures; Non-blind Measures; Similarity Measure; Dissimilarity Measure
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