Research on dual-band infrared image fusion based on Planck's radiation law

Infrared imaging technology has garnered widespread attention due to its advantages in long-distance detection, multispectral imaging, stealth capability, and imaging in low-light environments. In this study, real-world images captured by two thermal imagers operating in the infrared bands of 3-5μm and 8-14μm were investigated to explore the infrared radiation transmission characteristics of target backgrounds and calculate their radiation contrast. The characteristics of radiation contrast between target and background in different wavelength bands were analyzed, along with the resulting image features. Specific details of the images in different wavelength bands were elucidated using histogram analysis, mean, standard deviation, and information entropy. Ultimately, a dual-band infrared image fusion algorithm was proposed based on Planck's law. Experimental results confirm that this algorithm significantly enhances image details, improves target clarity and recognizability, comprehensively presents target features, enhances target detection efficiency, and exhibits clear targeting in the fusion process.