Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 9,
  • Issue 5,
  • pp. 051003-
  • (2011)

Minimum mean square error method for stripe nonuniformity correction

Not Accessible

Your library or personal account may give you access

Abstract

Stripe nonuniformity is very typical in line infrared focal plane (IRFPA) and uncooled starring IRFPA. We develop the minimum mean square error (MMSE) method for stripe nonuniformity correction (NUC). The goal of the MMSE method is to determine the optimal NUC parameters for making the corrected image the closest to the ideal image. Moreover, this method can be achieved in one frame, making it more competitive than other scene-based NUC algorithms. We also demonstrate the calibration results of our algorithm using real and virtual infrared image sequences. The experiments verify the positive effect of our algorithm.

© 2011 Chinese Optics Letters

PDF Article
More Like This
Correction method for stripe nonuniformity

Weixian Qian, Qian Chen, Guohua Gu, and Zhiqiang Guan
Appl. Opt. 49(10) 1764-1773 (2010)

Improved neural network based scene-adaptive nonuniformity correction method for infrared focal plane arrays

Lai Rui, Yang Yin-tang, Zhou Duan, and Li Yue-jin
Appl. Opt. 47(24) 4331-4335 (2008)

Scene-based nonuniformity correction algorithm based on interframe registration

Chao Zuo, Qian Chen, Guohua Gu, and Xiubao Sui
J. Opt. Soc. Am. A 28(6) 1164-1176 (2011)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved