This research focuses on the discovery and localization of hidden objects in the wild and
serves unmanned systems. Through empirical analysis, infrared and visible image fusion …

Multi-modality image fusion is a technique that combines information from different sensors
or modalities enabling the fused image to retain complementary features from each modality …

The correction of exposure-related issues is a pivotal component in enhancing the quality of
images, offering substantial implications for various computer vision tasks. Historically, most …

In infrared and visible image fusion (IVIF), prior knowledge constraints established with
image-level information often ignore the identity and differences between source image …

High-quality underwater imaging is crucial for underwater exploration. However, particle
scattering and light absorption by seawater significantly degrade image clarity. To address …

Underwater imaging systems have evolved into essential hardware equipment for
developing and utilizing marine resources. However, the complex underwater physical …

Image fusion plays a key role in a variety of multi-sensor-based vision systems, especially
for enhancing visual quality and/or extracting aggregated features for perception. However …

Underwater images suffer from light refraction and absorption, which impairs visibility and
interferes the subsequent applications. Existing underwater image enhancement methods …

The image fusion community is thriving with the wave of deep learning, and the most
popular fusion methods are usually built upon well-designed network structures. However …

Image stitching is a critical task in panorama perception that involves combining images
captured from different viewing positions to reconstruct a wider field-of-view (FOV) image …