Comparison of methods for super-resolving passive millimeter wave images

David G. Gleed; Alan H. Lettington; Qi He Hong

doi:10.1117/12.258236

14 November 1996 Comparison of methods for super-resolving passive millimeter wave images

David G. Gleed, Alan H. Lettington, Qi He Hong

Proceedings Volume 2847, Applications of Digital Image Processing XIX; (1996) https://doi.org/10.1117/12.258236
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

We present our results to date on the application of super- resolution techniques to passive millimeter-wave imagery and discuss the merits of both linear and non-linear methods giving an indication of the improvement which can be obtained. Passive millimeter-wave imagery is potentially useful where poor weather visibility is required. Its spatial resolution, however, is severely restricted due to the diffraction limit of the optics. Super-resolution methods may be used to increase this spatial resolution but often at the expense of processing time. Linear methods may be implemented in real time whereas non-linear methods which are required to restore images with lost spatial frequencies are more time consuming. There is clearly a trade-off between resolution and processing time. In order to make any useful comparisons it is necessary to quantify any improvements, we do this by investigating the resolution and spatial frequency content of the images. We have applied our super-resolution algorithms to conventional images as well as millimetric bar pattern images which were acquired at 94 and 140 GHz. These methods give excellent results, providing a significant quantifiable increase in spatial resolution with only a small reduction in the final signal to noise ratio. Comparisons will be made between the results obtained with various super-resolution algorithms.

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David G. Gleed, Alan H. Lettington, and Qi He Hong "Comparison of methods for super-resolving passive millimeter wave images", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258236

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KEYWORDS

Spatial frequencies

Image processing

Deconvolution

Imaging systems

Super resolution

Spatial resolution

Extremely high frequency

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