Share Email Print

Proceedings Paper

A comparative evaluation of image background subtraction techniques
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Many applications generate digital image sequences using a lens system, a light-transducing pixel array, and sample-and-hold A/D electronics. Non-uniformity Correction (NUC) is an image processing operation that is often required in such systems. The NUC operation subtracts the background from a temporally evolving image on a pixel-by-pixel basis. Background estimation must be robust against image features, electronic glitches, and sudden changes in background. The NUC is often applied in conjunction with a mechanical image dithering that enables separation of the image from the static additive background. In real-time applications with large pixe-count focal planes, the NUC must process large data bandwidths. The NUC algorithm must be operationally efficient to process data in real time. This paper examines a number of NUC algorithms. It defines a set of performance metrics and evaluates algorithm performance in terms of trades between these metrics and processing cost. It provides a guide for selecting an appropriate NUC algorithm based on operating conditions and available compute resources.

Paper Details

Date Published: 21 September 2007
PDF: 17 pages
Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970E (21 September 2007); doi: 10.1117/12.732209
Show Author Affiliations
Ankit K. Jain, MIT Lincoln Lab. (United States)
Daniel V. Rabinkin, MIT Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 6697:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVII
Franklin T. Luk, Editor(s)

© SPIE. Terms of Use
Back to Top