3 papers
cs.CV2025
JDPNet: A Network Based on Joint Degradation Processing for Underwater Image Enhancement
Tao Ye, Hongbin Ren, Chongbing Zhang +2
Given the complexity of underwater environments and the variability of water as a medium, underwater images are inevitably subject to various types of degradation. The degradations…
cs.CV2025
Gradient-based multi-focus image fusion with focus-aware saliency enhancement
Haoyu Li, XiaoSong Li
Multi-focus image fusion (MFIF) aims to yield an all-focused image from multiple partially focused inputs, which is crucial in applications cover sur-veillance, microscopy, and com…
cs.CV2024
Interaction-Guided Two-Branch Image Dehazing Network
Huichun Liu, Xiaosong Li, Tianshu Tan
Image dehazing aims to restore clean images from hazy ones. Convolutional Neural Networks (CNNs) and Transformers have demonstrated exceptional performance in local and global feat…