Prediction of compression-induced image interpretability degradation

著录项

• 来源
  《Optical engineering》 |2018年第4期|043108.1-043108.14|共14页
• 作者

  Erik Blasch; Hua-Mei Chen; John M. Irvine; Zhonghai Wang; Genshe Chen; James Nagy; Stephen Scott;

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• 作者单位

  Air Force Office of Scientific Research, Arlington, Virginia, United States;

  Intelligent Fusion Technology, Inc., Germantown, Maryland, United States;

  Draper Laboratory, Cambridge, Massachusetts, United States;

  Intelligent Fusion Technology, Inc., Germantown, Maryland, United States;

  Intelligent Fusion Technology, Inc., Germantown, Maryland, United States;

  Air Force Research Laboratory, Rome, New York, United States;

  Air Force Research Laboratory, Rome, New York, United States;

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• 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  image interpretability; lossy compression; National Imagery Interpretability Rating Scale; general image quality equation;

  机译：图像可解释性;有损压缩国家图像可解释性等级量表;一般图像质量方程;