1 November 1995 Aliasing reduction in staring infrared imagers utilizing subpixel techniques
Joseph C. Gillette, Thomas M. Stadtmiller, Russell C. Hardie
Author Affiliations +
Abstract
We introduce and analyze techniques for the reduction of aliased signal energy in a staring infrared imaging system. A standard staring system uses a fixed two-dimensional detector array that corresponds to a fixed spatial sampling frequency determined by the detector pitch or spacing. Aliasing will occur when sampling a scene containing spatial frequencies exceeding half the sampling frequency. This aliasing can significantly degrade the image quality. The aliasing reduction schemes presented here, referred to as microscanning, exploit subpixel shifts between time frames of an image sequence. These multiple images are used to reconstruct a single frame with reduced aliasing. If the shifts are controlled, using a mirror or beam steerer for example, one can obtain a uniformly sampled microscanned image. The reconstruction in this case can be accomplished by a straightforward interlacing of the time frames. If the shifts are uncontrolled, the effective sampling may be nonuniform and reconstruction becomes more complex. A sampling model is developed and the aliased signal energy is analyzed for the microscanning techniques. Finally, a number of experimental results are presented that illustrate the perlormance of the microscanning methods.
Joseph C. Gillette, Thomas M. Stadtmiller, and Russell C. Hardie "Aliasing reduction in staring infrared imagers utilizing subpixel techniques," Optical Engineering 34(11), (1 November 1995). https://doi.org/10.1117/12.213590
Published: 1 November 1995
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CITATIONS
Cited by 68 scholarly publications and 18 patents.
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KEYWORDS
Sensors

Imaging systems

Detector arrays

Infrared imaging

Motion estimation

Reconstruction algorithms

Infrared radiation

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