[1]张桥舟,顾国华,陈钱,等.基于两点参数及自适应窗口的实时盲元检测和补偿技术[J].红外技术,2013,35(03):139-145.
 ZHANG Qiao-zhou,GU Guo-hua,CHEN Qian,et al.Real-time Blind-pixel Detection and Compensation Technology Based on Two-point Parameters and Self-adaptive Window[J].Infrared Technology,2013,35(03):139-145.
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基于两点参数及自适应窗口的实时盲元检测和补偿技术
分享到:

《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
35卷
期数:
2013年03期
页码:
139-145
栏目:
出版日期:
2013-03-30

文章信息/Info

Title:
Real-time Blind-pixel Detection and Compensation Technology Based on Two-point Parameters and Self-adaptive Window
文章编号:
1001-8891(2013)03-0139-07
作者:
 张桥舟顾国华陈钱隋修宝刘宁
 南京理工大学光电工程国防重点学科实验室
Author(s):
ZHANG Qiao-zhou GU Guo-hua CHEN Qian SUI Xiu-bao LIU Ning
 

National Defense Key Discipline Laboratory of Optoelectronic Engineering, Nanjing University of Science and Technology

关键词:
 盲元检测盲元补偿FPGA两点参数自适应窗口
Keywords:
 blind-pixel detectionblind-pixel compensationFPGAtwo-point parametersself-adaptive window
分类号:
TN216
文献标志码:
A
摘要:
 

在红外焦平面(IRFPA)成像系统中,盲元检测和补偿是红外成像过程中必不可少的一步。针对FPGA,提出一种基于两点参数的

简化型3o盲元检测算法,并介绍了自适应窗口盲元补偿算法。该算法通过分析两点参数矩阵的分布情况,以3o为基准裁定盲元;再在自

适应窗口中补偿盲元,优化了补偿结果。具体介绍了硬件功能结构和算法关键数据流的设计。仿真和实际场景实验结果表明该算法对盲

元能做到精确检测和有效补偿,且速度快和资源省,能在硬件上完整地实现。

Abstract:

For an infrared imaging system, blind-pixel detection and compensation is an inevitable step in the infrared

imaging process. A new method of blind-pixel detection which is based on two-point parameters and 3o theory and self-

adaptive window compensation method is introduced. The algorithm detects blind-pixels through the distribution of

two-point matrixes and 3o theory; The blind-pixel compensation is operated in the self-adaptive window and the

compensation value is optimized. The design of hardware function structure and the key data stream of this algorithm

are introduced. The results of simulation and real scene experiments prove that this method can detect and compensate

blind-pixels accurately, effectively, fast and saving resources, and it can be transplanted to FPGA easily.

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备注/Memo

备注/Memo:
 收稿日期:2012-12-17;修订日期:2013-02-25.
作者简介:张桥舟(1988-),男,硕士研究生,主要研究方向为红外图像处理。
基金项目:国家自然科学基金,编号:61271332;江苏省“六大人才高峰”支持计划,编号:2010-DZXX-022。
更新日期/Last Update: 2013-04-01