基于MSR和AMSR的红外融合增强算法

红外传感器的成像特点，使得所采集的红外图像存在对比度低、清晰度差、信噪比低、边缘信息模糊等问题。为此提出基于多尺度视网膜（multi-scale retinex,MSR）和自适应多尺度视网膜（adaptive multi-scale retinex,AMSR）的红外融合增强及其优化算法。实验结果表明，所提算法能够有效提高红外图像的对比度和清晰度，在主观视觉效果和客观评价指标上均优于单尺度视网膜算法、MSR算法、AMSR算法。

Infrared Image Fusion Enhancement Algorithm Based on MSR and AMSR

There are some problems related to infrared images, such as low contrast, poor definition, low signal to noise ratio and blurred edge information for infrared sensors. In this paper, an infrared fusion enhancement algorithm and the improvement of the algorithm are proposed based on the combination of multi-scale retinex (MSR) and adaptive multi-scale retinex (AMSR). Experimental results show that the proposed algorithms can improve the contrast and definition of infrared images. And the algorithms are better than single scale retinex (SSR), multi-scale retinex (MSR), adaptive multi-scale retinex (AMSR) in subjective visual effects and objective evaluation criteria.