Share Email Print

Proceedings Paper

Restoration techniques of millimeter-wave images
Author(s): Alan H. Lettington; Marc R. Yallop; Sophie Tzimopoulou
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A non-linear image restoration method has been developed by combining the advantages of the existing Lorentzian and Wiener filter techniques. It sharpens edges without introducing Gibbs ringing and restores the background without flattening it. An image is separated into features and background regions, the features are restored using the Lorentzian method and the background is sharpened using a Wiener filter. The Wiener filter is applied to the second derivative of the background to avoid ringing introduced by discontinuities where feature shave been removed. Also three pre-processing techniques are described that suppress fixed pattern noise, temporal noise and scan-lines from video data. The fixed pattern noise is suppressed by subtracting one frame of a moving image from another. Then the difference image is deconvoled with a function based on the translation of the image between each frame. Temporal noise is suppressed by calculating the displacement between frames and averaging the frames in their displaced position. Scan- lines are suppress by blurring the image in a direction perpendicular to the scan-lines and fitting the original image to the blurred image by adjusting gains and offsets. Examples of each method are provided.

Paper Details

Date Published: 21 August 2001
PDF: 11 pages
Proc. SPIE 4373, Passive Millimeter-Wave Imaging Technology V, (21 August 2001); doi: 10.1117/12.438131
Show Author Affiliations
Alan H. Lettington, Univ. of Reading (United Kingdom)
Marc R. Yallop, Univ. of Reading (United Kingdom)
Sophie Tzimopoulou, Univ. of Reading (United Kingdom)

Published in SPIE Proceedings Vol. 4373:
Passive Millimeter-Wave Imaging Technology V
Roger M. Smith; Roger Appleby, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?