一种基于图像分层的红外图像目标细节增强算法
Infrared Image Target Detail Enhancement Algorithm Based on Image Hierarchical Processing
摘要:
为了解决高动态红外成像系统在使用传统图像压缩方法过程中产生的图像整体对比度低，目标细节的流失模糊等问题，提出了一种基于图像分层的红外图像微弱目标细节增强的算法，并从算法理论研究与仿真结果两方面入手，验证了其对目标细节的增强效果优于传统方法。该方法利用双边滤波完成图像的平滑及分层操作。采用灰度线性变换完成对背景层图像的压缩，利用自适应增益放大细节层的同时抑制噪声，线性叠加压缩后的背景层和放大后的细节层，得到目标细节增强后的8位红外图像。
Abstract:
In order to solve the problems of low image overall contrast and blurring of target details caused by high-dynamic infrared imaging systems using traditional image compression methods, a kind of infrared image weak target detail enhancement algorithm based on the hierarchical processing is proposed, this study has verified that the target detail enhancement effect is superior to the traditional method using theoretical research and simulation results of algorithm. The method uses bilateral filtering to smooth and layer the image, linear superposition, the background layer after compression and the detail layer after magnification can obtain the 8-bit infrared image after the target detail enhancement.
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