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吸收涂层法抑制龙虾眼透镜杂散光
引用本文:欧阳名钊,付跃刚,胡源,高天元,董科研,王加科,贺文俊,马辰昊.吸收涂层法抑制龙虾眼透镜杂散光[J].红外与激光工程,2014,43(5):1499-1504.
作者姓名:欧阳名钊  付跃刚  胡源  高天元  董科研  王加科  贺文俊  马辰昊
作者单位:1.长春理工大学光电测试分析中心,吉林 长春 130022;
基金项目:吉林省自然科学基金(201215131);中国科学院光电研究院雏鹰计划
摘    要:龙虾眼光学的灵感来自于生物界中龙虾眼睛独特的结构形式。龙虾眼透镜的像点是十字形分布,由焦臂、焦点组成,在光波段应用存在明显的背景杂光,严重制约了其应用。通过对龙虾眼透镜的聚焦过程进行分析,提出了使用吸收涂层法对龙虾眼透镜杂散光进行抑制,综合运用末端涂层法和贯穿涂层法消除十字焦臂及背景光从而抑制杂散光。通过使用杂光分析软件进行建模对比分析表明,在不降低中心焦点照度的前提下,使用吸收涂层可以显著抑制龙虾眼透镜的杂光。背景杂光水平降低约一个数量级,而十字焦臂弥散减小并且强度下降约40%。从而可以明显提高信噪比与图像的对比度。

关 键 词:龙虾眼透镜    吸收涂层法    杂光抑制
收稿时间:2013-09-11

Elimination of stray light for lobster eyes lens with absorbing coating
Affiliation:1.Center of Opto-electronic Test and Analysis,Changchun University of Science and Technology,Changchun 130022,China;2.Institute of Space Photoelectric Technology,Changchun University of Science and Technology,Changchun 130022,China
Abstract:The concept of lobster optics was inspired by the unique structure of lobster eyes in biological world. The image points of the lobster eyes lens are distributed as a cross, which consist of focal arm and focal point. Due to the distribution of image points, there is significant background stray light in the lobster eyes lens, which seriously restricts its applications. Based on the analysis of the focusing process in the lobster eye lens, the absorbing coating method was proposed to suppress the stray light. Through combination of the end absorbing coating method and the penetration absorbing coating method, the cross focal arm and background stray light were obviously suppressed. With the model which is built with stray light analysis software, it is shown from the comparison that with absorbing coating method, the stray light of lobster-eyes lens can be remarkably inhibited. It is indicated that the level of background stray light is reduced by roughly one order of magnitude, the size of focal arms is decreased and its intensity falls by 40% under the premise of without reducing the illumination of central focus. It could greatly increase the SNR and the contrast of image.
Keywords:
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