Advanced trend removal in 3D noise calculation

Stephen D. Burks; Quang Nguyen

doi:10.1117/12.917726

18 May 2012 Advanced trend removal in 3D noise calculation

Stephen D. Burks, Quang Nguyen

Proceedings Volume 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII; 835509 (2012) https://doi.org/10.1117/12.917726
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

While it is now common practice to use a trend removal to eliminate low frequency xed pattern noise in thermal imaging systems, there is still some disagreement as to whether one means of trend removal is better than another and whether or not the strength of the trend removal should be limited. The dierent methods for trend removal will be presented as well as an analysis of the calculated noise as a function of their strengths will be presented for various thermal imaging systems. In addition, trend removals were originally put in place in order to suppress the low-frequency component of the Sigma VH term. It is now prudent to perform a trend removal at an intermediate noise calculation step in order to suppress the low frequency component of both the Sigma V and Sigma H components. A discussion of the ramications of this change in measurement will be included for thermal modeling considerations.

Citation Download Citation

Stephen D. Burks and Quang Nguyen "Advanced trend removal in 3D noise calculation", Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 835509 (18 May 2012); https://doi.org/10.1117/12.917726

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