Imaging Components, Systems, and Processing

Image quality modeling and characterization of Nyquist-sampled framing sensors with operational considerations for remote sensing

[+] Author Affiliations
Rey Jan D. Garma, John R. Schott, Jie Qiao, Donald McKeown

Rochester Institute of Technology, Chester F. Carlson Center of Imaging Science, Digital Imaging and Remote Sensing Laboratory, 54 Lomb Memorial Drive, Rochester, New York 14623, United States

Robert D. Fiete

Harris Corporation, Space and Intelligence Systems, 400 Initiative Drive, Rochester, New York 14606-0488, United States

Opt. Eng. 56(1), 013102 (Jan 02, 2017). doi:10.1117/1.OE.56.1.013102
History: Received July 27, 2016; Accepted December 2, 2016
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Abstract.  The effect of increasing Q on image interpretability is explored, and the fidelity of general image quality equation (GIQE) predictions is assessed for Nyquist-sampled (Q=2) imagery at low signal-to-noise ratio. A digital image chain simulation is developed and validated against a laboratory test bed using objective and subjective assessments. Using the validated model, additional test cases are simulated to study the effects of increased detector sampling on image quality with operational considerations for space-based remote sensing. Variants of the GIQE are evaluated against subject-provided ratings, and modifications that increase prediction accuracy for Q=2 imagery are proposed. Finally, using the validated simulation and modified image quality equation, trades are conducted to ascertain the feasibility of implementing Q=2 designs in future electro-optical systems.

© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Rey Jan D. Garma ; John R. Schott ; Robert D. Fiete ; Jie Qiao and Donald McKeown
"Image quality modeling and characterization of Nyquist-sampled framing sensors with operational considerations for remote sensing", Opt. Eng. 56(1), 013102 (Jan 02, 2017). ; http://dx.doi.org/10.1117/1.OE.56.1.013102


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