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作 者:孙少伟 杨粤涛 杨炳伟 万安军 钟海林 SUN Shaowei;YANG Yuetao;YANG Bingwei;WAN Anjun;ZHONG Hailin(AVIC Suzhou Changfeng Avionics Co.,Ltd.,Suzhou 215001,China)
机构地区:[1]苏州长风航空电子有限公司,江苏苏州215001
出 处:《红外技术》2021年第5期464-472,共9页Infrared Technology
摘 要:自动聚焦技术在红外热像仪监控领域有着非常重要的作用。目前业内红外自动聚焦技术存在聚焦成功率低、架构复杂、聚焦速度慢等状况,为此提出了一种基于FPGA的红外镜头自动聚焦技术,采用单FPGA实现了红外图像处理显示和自动聚焦的功能。鉴于红外图像普遍存在竖条纹噪声和随机噪声等特点,本文在实现聚焦过程中对红外清晰度评价算法和爬山算法做了改进和优化。实验结果表明本文提出的算法和实现方式能够很好地实现红外镜头的自动聚焦,同时具备集成度高、聚焦速度快、成功率高等特点,有比较广泛的应用前景。Autofocus technology plays an important role in the field of infrared thermal imager monitoring.At present,there exist some problems with infrared auto focusing technology,such as low success rate,complex architecture and low focusing speed.Therefore,this study proposes an auto focusing technology of infrared lens based on FPGA,which realizes the functions of infrared image processing,display,and auto focusing with a single FPGA.In view of the common characteristics of vertical stripe noise and random noise in infrared images,this study improves and optimizes the infrared definition evaluation algorithm and mountain climbing algorithm in the focusing process.The experimental results show that the algorithm and implementation method proposed in this study can help infocusing on the infrared lens remarkably.Meanwhile,the proposed method has characteristics such as high integration,fast focusing speed,and high success rate,and thus has wide application prospects.
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