Optical Review

, Volume 17, Issue 1, pp 24–29

Space low-pass and temporal high-pass nonuniformity correction algorithm

Regular Papers

DOI: 10.1007/s10043-010-0005-8

Cite this article as:
Qian, W., Chen, Q. & Gu, G. OPT REV (2010) 17: 24. doi:10.1007/s10043-010-0005-8


Nowadays, almost all scene-based nonuniformity correction (NUC) algorithms have the same shortcoming: a low convergence speed. This shortcoming produces ghosting artifacts. In this paper, we will start by discussing the traditional temporal high-pass NUC algorithm, and then combine the space frequency and temporal frequency. This combination will produce a new algorithm called the space low-pass and temporal high-pass NUC algorithm. The kernel idea of this algorithm is to eliminate the nonuniformity’s high-space-frequency part and retain the nonuniformity’s low-space-frequency part. Moreover, the high-space-frequency part’s processing is controllable, which markedly increases convergence speed. These features make our algorithm’s convergence speed so high that processed images have almost no ghosting artifacts.


scene-based nonuniformity correction ghosting artifacts temporal high-pass space low-pass convergence speed 

Copyright information

© The Optical Society of Japan 2010

Authors and Affiliations

  1. 1.440 Lab, EEOTNanjing University of Science and TechnologyNanjing, Jiangsu ProvinceChina

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