October 2019
Spotlight Summary by Saeed Mahmoudpour
Back-of-the-envelope image quality estimation using the national image interpretability rating scale
Image quality (IQ) prediction is a critical task during the design of an optical imaging system to ensure satisfying the quality requirements of customers. A generic IQ equation (GIQE) has been widely used for this purpose which empirically estimates quality in terms of the National Imagery Interpretability Scale (NIIRS). The GIQE is expressed based on several quality factors including ground sampled distance (GSD), relative edge response (RER), signal-to-noise ratio (SNR), and the edge overshoot (H). Measuring such factors requires time-consuming imaging simulations which delay the development process. In this paper, the authors deliver a simplified version of the GIQE for providing a fast and effective IQ estimation. For this, the quality components of the GIQE have been simplified by considering several valid assumptions for remote sensing application. Although the quality estimation by the proposed metric might be optimistic, the validation analysis in this paper reveals that the rough estimations are still useful. Such back-of-the-envelope IQ estimation can help manufacturers to have an initial overview of the hardware requirements and vendor identification without a need for complicated and tedious simulations so that the design process can progress faster.
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Article Information
Back-of-the-envelope image quality estimation using the national image interpretability rating scale
Jason Mudge
Appl. Opt. 58(24) 6586-6590 (2019) View: Abstract | HTML | PDF