Multi-scale transform (MST) is an efficient tool for image fusion. Recently, many fusion
methods have been developed based on different MSTs, and they have shown potential …

针对红外偏振与光强图像彼此包含共同信息和特有信息的特点, 提出了一种基于双树复小波变换
和稀疏表示的图像融合方法. 首先, 利用双树复小波变换获取源图像的高频和低频成分 …

Integration of infrared and visible images is an active and important topic in image
understanding and interpretation. In this paper, a new fusion method is proposed based on …

Noise is easily mistaken as useful features of input images, and therefore, significantly
reducing image fusion quality. In this paper, we propose a novel gradient entropy metric and …

Multi-focus image fusion, which is the fusion of two or more images focused on different
targets into one clear image, is a worthwhile problem in digital image processing. Traditional …

Integration of infrared polarization and intensity images has been a new topic in infrared
image understanding and interpretation. The abundant infrared details and target from …

This paper presents a fusion method for infrared–visible image and infrared-polarization
image based on multi-scale center-surround top-hat transform which can effectively extract …

To improve the fusion quality of infrared and visible images and highlight target and scene
details, in this paper, a novel infrared and visible image fusion algorithm is proposed. First, a …

Fusion of infrared and visible images is an effective way for image analysis. The crucial
factor of the fusion is extracting and combing the image features of original images. In this …

The crucial problem of infrared and visual image fusion is how to effectively extract the
image features, including the image regions and details and combine these features into the …