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基于场景自适应收敛非均匀性校正方法

孔捷

红外技术2011,Vol.33Issue(3):155-162,8.
红外技术2011,Vol.33Issue(3):155-162,8.

基于场景自适应收敛非均匀性校正方法

Adaptive Convergence Scene-Based Nonuniformity Correction Algorithm

孔捷1

作者信息

  • 1. 南京理工大学电光学院,江苏,南京,210094
  • 折叠

摘要

Abstract

Convergence speed is a key performance indicator in the scene-based nonuniformity correction (NUC) algorithms. In this study, we have developed a new algorithm named the adaptive convergence nonuniformity correction (AC NUC) algorithm, which utilizes the nonuniformity's high-space-frequency characteristic. Moreover, the coefficient controlling the convergence speed is improved from stationary to adaptive, which is an important improvement to the convergence speed and NUC effect. Finally, the effectiveness of the proposed algorithm was verified by real infrared image sequences.

关键词

基于场景非均匀性校正/收敛速度/空间频率的高频部分/自适应收敛

Key words

scene-based nonuniformity correction/ convergence speed/ high-space-frequency/ adaptive convergence

分类

信息技术与安全科学

引用本文复制引用

孔捷..基于场景自适应收敛非均匀性校正方法[J].红外技术,2011,33(3):155-162,8.

基金项目

NUST Research Funding.No.2010ZDJH12. ()

红外技术

OA北大核心CSCDCSTPCD

1001-8891

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