基于MSR和AMSR的红外融合增强算法

doi:10.3969/j.issn.0255-8297.2022.03.006

Abstract

Abstract: 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.

Key words: infrared, fusion enhancement, multi-scale retinex (MSR), adaptive multi-scale retinex (AMSR)

CLC Number:

TP391.4

LIU Shuo, QU Chongxiao, ZHU Zhongke, ZHANG Fujun, FAN Changjun. Infrared Image Fusion Enhancement Algorithm Based on MSR and AMSR[J]. Journal of Applied Sciences, 2022, 40(3): 423-433.

References

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Infrared Image Fusion Enhancement Algorithm Based on MSR and AMSR

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