Nonuniformity correction algorithm based on a noise-cancellation system for infrared focal plane arrays

Sebastian E. Godoy; Sergio N. Torres; Jorge E. Pezoa; Majeed M. Hayat; Qi Wang

doi:10.1117/12.719924

14 May 2007 Nonuniformity correction algorithm based on a noise-cancellation system for infrared focal-plane arrays

Sebastian E. Godoy, Sergio N. Torres, Jorge E. Pezoa, Majeed M. Hayat, Qi Wang

Proceedings Volume 6542, Infrared Technology and Applications XXXIII; 65423S (2007) https://doi.org/10.1117/12.719924
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

In this paper a novel nonuniformity correction method that compensates for the fixed-pattern noise (FPN) in infrared focal-plane array (IRFPA) sensors is developed. The proposed NUC method compensates for the additive component of the FPN statistically processing the read-out signal using a noise-cancellation system. The main assumption of the method is that a source of noise correlated to the additive noise of the IRFPA is available to the system. Under this assumption, a finite impulse response (FIR) filter is designed to synthesize an estimate of the additive noise. Moreover, exploiting the fact that the assumed source of noise is constant in time, we derive a simple expression to calculate the estimate of the additive noise. Finally, the estimate is subtracted to the raw IR imagery to obtain the corrected version of the images. The performance of the proposed system and its ability to compensate for the FPN are tested with infrared images corrupted by both real and simulated nonuniformity.

Citation Download Citation

Sebastian E. Godoy, Sergio N. Torres, Jorge E. Pezoa, Majeed M. Hayat, and Qi Wang "Nonuniformity correction algorithm based on a noise-cancellation system for infrared focal-plane arrays", Proc. SPIE 6542, Infrared Technology and Applications XXXIII, 65423S (14 May 2007); https://doi.org/10.1117/12.719924

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