Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Scene-based nonuniformity correction using local constant statistics

Not Accessible

Your library or personal account may give you access

Abstract

In scene-based nonuniformity correction, the statistical approach assumes all possible values of the true-scene pixel are seen at each pixel location. This global-constant-statistics assumption does not distinguish fixed pattern noise from spatial variations in the average image. This often causes the “ghosting” artifacts in the corrected images since the existing spatial variations are treated as noises. We introduce a new statistical method to reduce the ghosting artifacts. Our method proposes a local-constant statistics that assumes that the temporal signal distribution is not constant at each pixel but is locally true. This considers statistically a constant distribution in a local region around each pixel but uneven distribution in a larger scale. Under the assumption that the fixed pattern noise concentrates in a higher spatial-frequency domain than the distribution variation, we apply a wavelet method to the gain and offset image of the noise and separate out the pattern noise from the spatial variations in the temporal distribution of the scene. We compare the results to the global-constant-statistics method using a clean sequence with large artificial pattern noises. We also apply the method to a challenging CCD video sequence and a LWIR sequence to show how effective it is in reducing noise and the ghosting artifacts.

© 2008 Optical Society of America

Full Article  |  PDF Article
More Like This
Scene-based nonuniformity correction and enhancement: pixel statistics and subpixel motion

Wenyi Zhao and Chao Zhang
J. Opt. Soc. Am. A 25(7) 1668-1681 (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)

Scene-Based Nonuniformity Correction with Reduced Ghosting Using a Gated LMS Algorithm

Russell C. Hardie, Frank Baxley, Brandon Brys, and Patrick Hytla
Opt. Express 17(17) 14918-14933 (2009)

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

Figures (7)

You do not have subscription access to this journal. Figure files 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

Tables (1)

You do not have subscription access to this journal. Article tables 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

Equations (29)

You do not have subscription access to this journal. Equations 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