可解释性
图像质量
光传递函数
计算机科学
图像(数学)
质量(理念)
噪音(视频)
人工智能
比例(比率)
图像处理
计算机视觉
光学
物理
量子力学
作者
Jon C. Leachtenauer,W. A. Malila,John M. Irvine,Linda Colburn,Nanette Salvaggio
出处
期刊:Applied optics
[The Optical Society]
日期:1997-11-10
卷期号:36 (32): 8322-8322
被引量:199
摘要
A regression-based model was developed relating aerial image quality, expressed in terms of the National Imagery Interpretability Rating Scale (NIIRS), to fundamental image attributes. The General Image-Quality Equation (GIQE) treats three main attributes: scale, expressed as the ground-sampled distance; sharpness, measured from the system modulation transfer function; and the signal-to-noise ratio. The GIQE can be applied to any visible sensor and predicts NIIRS ratings with a standard error of 0.3 NIIRS. The image attributes treated by the GIQE are influenced by system design and operation parameters. The GIQE allows system designers and operators to perform trade-offs for the optimization of image quality.
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