一种基于BEEPS滤波的红外图像细节增强算法
An Infrared Image Detail Enhancement Algorithm Based on BEEPS Filtering
摘要: 本文改进了一种基于非线性双指数边缘滤波器(BEEPS)的红外细节增强算法,首先分离红外高低频信号,然后分别采用噪声可预见模型和自适应投影进行增强。仿真结果表明,改进算法的细节可视化增强效果明显。
Abstract: In this paper, an improved infrared detail enhancement algorithm based on nonlinear double exponential edge filter (BEEPS) is presented. Firstly, the high and low frequency infrared signals are separated, and then the noise foreseeable model and adaptive projection are used to enhance the infrared detail. Simulation results show that the detail visualization enhancement effect of the improved algorithm is obvious.
文章引用:唐骏, 高志强, 顾鑫, 朱家乙, 沙怡中, 张耀芹. 一种基于BEEPS滤波的红外图像细节增强算法[J]. 计算机科学与应用, 2021, 11(5): 1548-1554. https://doi.org/10.12677/CSA.2021.115159

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