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Back-of-the-envelope image quality estimation using the national image interpretability rating scale

机译:使用国家形象解释性评级规模的信封背面图像质量估计

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摘要

For an optical imaging system, the critical output is the image itself, and therefore, the quality of that image is of utmost importance. To estimate or predict the image quality (IQ), a simulation/model is typically created to yield an output image, given an imaging system and an object/scene. The IQ is typically graded based on the imaging system along with the scene. Developing an imaging simulation and creating input scenes to produce IQ results can be time-consuming, leading to a desire for a simple method to estimate the predicted IQ. This work develops a national image interpretability rating scale (NIIRS) IQ value based on simplifying assumptions for remote-sensing purposes. While the results are on the optimistic side, this back-of-the-envelope IQ estimation allows the process of developing a new imaging system to move forward more in parallel rather than in series, i.e., developing an imaging full simulation/model in parallel with designing/procuring hardware. (C) 2019 Optical Society of America
机译:对于光学成像系统,临界输出是图像本身,因此,该图像的质量至关重要。为了估计或预测图像质量(IQ),通常创建模拟/模型以给定成像系统和对象/场景来产生输出图像。 IQ通常基于成像系统与场景一起分级。开发成像模拟并创建输入场景以产生IQ结果可能是耗时的,导致估计预测的IQ的简单方法的渴望。这项工作基于简化了遥感目的的假设,开发了国家形象可解释性评级规模(NIIRS)IQ值。虽然结果在乐观方面,但是这种背包的IQ估计允许开发新的成像系统的过程,以便并行地串行地移动,即,并行开发成像全仿真/模型使用设计/采购硬件。 (c)2019年光学学会

著录项

  • 来源
    《Applied optics》 |2019年第24期|共5页
  • 作者

    Mudge Jason;

  • 作者单位

    Golden Gate Light Optimizat LLC San Francisco CA 94131 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
  • 关键词

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