红外技术, 2016, 38 (11): 960, 网络出版: 2016-12-20   

基于梯度计算的自动聚焦图像清晰度评价函数仿真分析

Simulation Analysis of Auto Focusing Sharpness Evaluation Function for Images Based on Gradient Operator
作者单位
1 昆明物理研究所,云南 昆明 650223
2 微光夜视技术重点实验室,陕西 西安 710065
3 中国人民解放军63963 部队,北京 100072
摘要
基于梯度计算的评价函数在自动聚焦系统中应用广泛,函数形式变化多样,本文基于图像梯度计算的数学原理,通过MATLAB 仿真分析,对比了常见梯度类评价函数的性能,总结了梯度类评价函数应用中结合系统成像质量控制算法性能的方法。
Abstract
Image sharpness evaluation function based on gradient calculation is widely used in automatic focus system, and these functions vary in form. In this paper, starting from the mathematical principles of image gradient calculation, with simulation experiments under MATLAB, performance of common gradient class evaluation functions was compared and analyzed, and methods combining the characteristics of imaging system to control the performance of these algorithms are presented.
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潘雪娟, 朱尤攀, 潘超, 韩娟, 李大庆, 张皓, 罗琳, 李泽民. 基于梯度计算的自动聚焦图像清晰度评价函数仿真分析[J]. 红外技术, 2016, 38(11): 960. PAN Xuejuan, ZHU Youpan, PAN Chao, HAN Juan, LI Daqing, ZHANG Hao, LUO Lin, LI Zemin. Simulation Analysis of Auto Focusing Sharpness Evaluation Function for Images Based on Gradient Operator[J]. Infrared Technology, 2016, 38(11): 960.

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