[1]李谦,杨波,粟宇路,等.基于神经网络的红外焦平面光学非均匀性校正改进算法[J].红外技术,2019,41(3):251-255.[doi:10.11846/j.issn.1001_8891.201903009]
 LI Qian,YANG Bo,SU Yulu,et al.An Improved Algorithm for IRFPA Optical Nonuniformity Correction Based on Neural Networks[J].Infrared Technology,2019,41(3):251-255.[doi:10.11846/j.issn.1001_8891.201903009]
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基于神经网络的红外焦平面光学非均匀性校正改进算法
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
41卷
期数:
2019年第3期
页码:
251-255
栏目:
出版日期:
2019-03-20

文章信息/Info

Title:
An Improved Algorithm for IRFPA Optical Nonuniformity Correction Based on Neural Networks

文章编号:
1001-8891(2019)03-0251-05
作者:
李谦杨波粟宇路樊佩琦刘传明苏俊波
昆明物理研究所
Author(s):
LI QianYANG BoSU YuluFAN PeiqiLIU ChuanmingSU Junbo
Kunming Institute of Physics
关键词:
非均匀性校正光学非均匀性直方图均衡化
Keywords:
non-uniformity correctionoptical non-uniformityhistogram equalization
分类号:
TN219
DOI:
10.11846/j.issn.1001_8891.201903009
文献标志码:
A
摘要:
基于场景的非均匀校正依然是红外领域的一个研究热门。神经网络算法是一种较为典型的场景校正算法。本文主要针对神经网络算法本身不能校正光学引入的非均匀性问题,提出了新的改进算法,通过对神经网络输入层的预处理,消除图像的低频噪声,此外,为了消除预处理对图像对比度的影响,本文增加了神经网络的层数,使用双层神经网络对算法进行更新,从而消除了图像对比度下降的现象。实验结果表明,改进的神经网络算法能够有效的改善图像质量,消除图像中光学引入的非均匀性。
Abstract:
Scene-based non-uniformity correction is still a hot topic in the infrared field. A neural network algorithm is a classical scene-based non-uniformity correction algorithm. This article mainly introduced problems where the classical algorithm cannot correct an optical non-uniformity. We propose an improved algorithm based on the preprocessing layer to correct to the low-frequency noise. In order to eliminate the influence of the image contrast, we add a learning layer that can eliminate the image contrast drop phenomenon. The results of the experiment show that the new algorithm can effectively improve the image quality and eliminate non-uniformity introduced by the optics.

参考文献/References:

[1]? Boutemedjet A, Deng C, Zhao B. Robust Approach for Nonuniformity Correction in Infrared Focal Plane Array[J]. Sensors, 2016, 16(11): 1890.
[2]? Scribner D A, Sarkady K A, Kruer M R, et al. Adaptive nonuniformity correction for IR focal-plane arrays using neural networks[C]// International Society for Optics and Photonics, 1991: 100-109.
[3]? Torris S, Vera E, Reeves R. Adaptive Scene-based Nonuniformity Correction Method for Infrared Focal Plane Arrays[C]//Proceeding of SPIE, 2003, 5076: 130-139
[4]? Hardie R C, Baxley F, Brys B, et al. Scene-based nonuniformity correction with reduced ghosting using a gated LMS algorithm[J]. Optics Express, 2009, 17(17): 14918-14933.
[5]? Celedon N, Redlich R, Figueroa M. FPGA-based Neural Network for Nonuniformity Correction on Infrared Focal Plane Arrays[J]. Digital System Design, 2012: 193-200.
[6]? RONG Shenghui, ZHOU Huixin, QIN Hanlin, et al. Nonuniformity correction for an infrared focal plane array based on diamond search block matching[J]. J. Opt. Soc. Am A Opt. Image Sci. Vis, 2016, 33(5): 938-946.
[7]? 牛英宇, 聂瑞杰, 李丽娟. 基于FPGA的红外图像非均匀校正实现方法[J]. 激光与红外, 2016, 46(8): 1028-1032.
NIU Yingyu, NIE Ruijie, LI Lijuan. Non-uniformity correction for infrared image based on FPGA[J]. Laser & Infrared, 2016, 46(8): 1028-1032.
[8]? LAI Rui, YANG Yintang, WANG Bingjian. A quantitative measure based infrared image enhancement algorithm using plateau histogram[J]. Optics Communications, 2010, 283(21): 4283-4288.

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备注/Memo

备注/Memo:
收稿日期:2018-12-04;修订日期:2019-03-12.
作者简介:李谦(1994-),男,硕士研究生,研究方向:红外图像处理。E-mail:504757323@qq.com。

更新日期/Last Update: 2019-03-19