There have been numerous applications of superresolution reconstruction algorithms to improve the range performance of infrared imagers. These studies show there can be a dramatic improvement in range performance when superresolution algorithms are applied to undersampled imager outputs. These occur when the imager is moving relative to the target, which creates different spatial samplings of the field of view for each frame. The degree of performance benefit is dependent on the relative sizes of the detector∕spacing and the optical blur spot in focal plane space. The minimum blur spot size achievable on the focal plane is dependent on the system F∕number. Hence, we provide a range of these sensor characteristics, for which there is a benefit from superresolution reconstruction algorithms. Additionally, we quantify the potential performance improvements associated with these algorithms. We also provide three infrared sensor examples to show the range of improvements associated with provided guidelines.
© 2007 Optical Society of America
Original Manuscript: October 11, 2006
Manuscript Accepted: March 20, 2007
Published: July 6, 2007
Keith Krapels, Ronald G. Driggers, Eddie Jacobs, Stephen Burks, and Susan Young, "Characteristics of infrared imaging systems that benefit from superresolution reconstruction," Appl. Opt. 46, 4594-4603 (2007)