Scene-based nonuniformity correction with motion detection

Xin-gang Mou; Gui-lin Zhang; Ruo-lan Hu; Hang Li

doi:10.1117/12.835734

4 August 2009 Scene-based nonuniformity correction with motion detection

Xin-gang Mou, Gui-lin Zhang, Ruo-lan Hu, Hang Li

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73833G (2009) https://doi.org/10.1117/12.835734
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

Scene-based nonuniformity correction algorithms are widely concerned since they only need the readout infrared data captured by the imaging system during its normal operation. However, there still exists the problem of ghosting artifact in the algorithms, and their performance is noticeably degraded when the methods are applied over scenes with lack of motion. In order to solve this problem, a novel adaptive scene-based NUC algorithm, with a design of foreground and background, is presented. As the foreground, the neural network, using the adaptive learning rate rule, performs the normal NUC. As the background, the block-based motion detection monitors changes of the scene and determines the way of parameter update. The strength of the algorithm lies in its simplicity and low computational complexity. The performance of the proposed algorithm is then evaluated with infrared image sequences with simulated and real fixedpattern noise. The results show a more reliable fixed-pattern noise reduction, tracking the parameter drift, and presenting a good adaptability to scene changes.

Citation Download Citation

Xin-gang Mou, Gui-lin Zhang, Ruo-lan Hu, and Hang Li "Scene-based nonuniformity correction with motion detection", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73833G (4 August 2009); https://doi.org/10.1117/12.835734

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