Multi-source image fusion has become an important and useful new technology in the image
understanding and computer vision fields. The purpose of multi-source image fusion is to …

This paper proposes an image fusion framework based on separate representation learning,
called IFSepR. We believe that both the co-modal image and the multi-modal image have …

Medical image fusion integrates image features of different modalities to provide
comprehensive information for clinical diagnosis, treatment planning, and image-guided …

As an important branch of information fusion, infrared–visible image fusion can generate
scene information with rich texture details via signal processing technology. The fused …

Magnetic flux leakage (MFL) detection is one of the most widely used and best performing
wire rope nondestructive testing (NDT) methods for more than a decade. However, the …

Due to the characteristics of the diversity and complement of multi-modality images, the
fused method in SPCNN of adaptive parameters based on inherent characteristics of image …

For the problem of anti-background interference of weak-small targets in infrared images,
target extraction and texture detail processing are key tasks in the image fusion algorithm …

Image fusion technology involves the use of complementary information from multiple
sensors to generate a composite image that can highlight the details in the region of interest …

Among the many nondestructive testing methods of ferromagnetic materials, magnetic flux
leakage (MFL) testing is a very mature technology. Due to the single source of target …

当前红外单波段数据不能全面反映图像细节以及轮廓信息, 弱小目标成像后难以抵抗背景干扰,
使得图像产生较低的信噪比. 因此有必要利用不同波段数据的纹理差异性 …