Paper
21 August 1998 Image processing techniques for passive millimeter-wave imaging
Alan H. Lettington, David G. Gleed
Author Affiliations +
Abstract
We present our results on the application of image processing techniques for passive millimeter-wave imaging and discuss possible future trends. Passive millimeter-wave imaging is useful in poor weather such as in fog and cloud. Its spatial resolution, however, can be restricted due to the diffraction limit of the front aperture. Its resolution may be increased using super-resolution techniques but often at the expense of processing time. Linear methods may be implemented in real time but non-linear methods which are required to restore missing spatial frequencies are usually more time consuming. In the present paper we describe fast super-resolution techniques which are potentially capable of being applied in real time. Associated issues such as reducing the influence of noise and improving recognition capability will be discussed. Various techniques have been used to enhance passive millimeter wave images giving excellent results and providing a significant quantifiable increase in spatial resolution. Examples of applying these techniques to imagery will be given.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan H. Lettington and David G. Gleed "Image processing techniques for passive millimeter-wave imaging", Proc. SPIE 3378, Passive Millimeter-Wave Imaging Technology II, (21 August 1998); https://doi.org/10.1117/12.319395
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Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Image enhancement

Imaging systems

Image restoration

Spatial frequencies

Spatial resolution

Passive millimeter wave imaging

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