A comparative evaluation of image background subtraction techniques

Ankit K. Jain; Daniel V. Rabinkin

doi:10.1117/12.732209

21 September 2007 A comparative evaluation of image background subtraction techniques

Ankit K. Jain, Daniel V. Rabinkin

Proceedings Volume 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII; 66970E (2007) https://doi.org/10.1117/12.732209
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

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.

Citation Download Citation

Ankit K. Jain and Daniel V. Rabinkin "A comparative evaluation of image background subtraction techniques", Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970E (21 September 2007); https://doi.org/10.1117/12.732209

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available