The current constraint rules of end-to-end infrared and visible image fusion (IVIF) networks
based on deep learning solely focus on the pixel level, disregarding the consideration of …

Infrared (IR) and visible (VIS) image fusion techniques are widely applied to many high-level
vision tasks, such as object detection, recognition, and tracking. However, most existing …

Segmentation of insulators from complex images is a critical step for automatic fault
inspection. However, it remains challenging in backlight scene parsing due to the visible …

Colorizing unpaired thermal infrared images is a challenging task that existing methods
struggle to perform effectively, often resulting in blurry details and unclear textures. To …

In the domain of infrared and visible image fusion, the majority of existing methods are
designed for infrared and visible images with normal illumination conditions. However, these …

Overhead aluminum conductor composite core (ACCC) transmission lines are extensively
used. However, internal defects of ACCC wires are difficult to detect, threatening the stability …

In the task of infrared and visible image fusion, source images often exhibit complex and
variable characteristics due to scene illumination. To address the challenges posed by …

In order to improve the detection performance of image fusion in focus areas and realize end-
to-end decision diagram optimization, we design a multi-focus image fusion network based …

Thermal infrared image colorization remains challenging due to limitations in existing
methods, such as insufficient detail preservation and inaccurate color rendering. This paper …

Fault detection of isolators plays a significant role for the safety of power systems. The
majority of existing object detection algorithms only achieve the object discrimination of …