Nonuniformity Correction Of Infrared Image Sequences Using The Constant-statistics Constraint

Author

John G. Harris, Missouri University of Science and TechnologyFollow
Yu Ming Chiang

Abstract

Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of IRFPA's and other imaging arrays. The CS model provides an efficient implementation that can also eliminate much of the ghosting artifact that plagues all scene-based nonuniformity correction (NUC) algorithms. The CS algorithm with deghosting is demonstrated on synthetic and real infrared (IR) sequences and shown to improve the overall accuracy of the correction procedure.

Recommended Citation

J. G. Harris and Y. M. Chiang, "Nonuniformity Correction Of Infrared Image Sequences Using The Constant-statistics Constraint," IEEE Transactions on Image Processing, vol. 8, no. 8, pp. 1148 - 1151, Institute of Electrical and Electronics Engineers, Jan 1999.

The definitive version is available at https://doi.org/10.1109/83.777098

Department(s)

Electrical and Computer Engineering

Comments

National Science Foundation, Grant MIP-9502307

International Standard Serial Number (ISSN)

1057-7149

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 1999