Study of Infrared and Visible Image Fusion Technology Based on Wavelet Transform
基于小波变换的红外与可见光图像融合技术研究

With the development of sensor technologies, a single image sensor can not extract enough information from a scene. So, the multi-source image fusion is urgent to be studied. To solve the problem that the features of a same object in the images from multiple sensors are not identical, the wavelet transform is used to fuse the infrared and visible images. Firstly, the wavelet transform is used to decompose the image in multi scale. For high frequency fusion, the coefficients with maximum absolute values in two original images are selected. For low frequency fusion, the strategy of combining the domain pixel correlation with the regional variance is used. The experimental result shows that this fusion algorithm can fuse the different features and details of a same object in infrared and visible images into one image. It can increase the information in one image and enrich the information hierarchy of the target. It provides the basis for the image display and subsequent image processing.