1.1k citations · 1.9k across the 2 of their papers we have counts for
6 papers
RFN-Nest: An end-to-end residual fusion network for infrared and visible images
Hui Li, Xiao-Jun Wu, Josef Kittler
In the image fusion field, the design of deep learning-based fusion methods is far from routine. It is invariably fusion-task specific and requires a careful consideration. The mos…
NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models
Hui Li, Xiao-Jun Wu, Tariq Durrani
In this paper we propose a novel method for infrared and visible image fusion where we develop nest connection-based network and spatial/channel attention models. The nest connecti…
Infrared and Visible Image Fusion with ResNet and zero-phase component analysis
Hui Li, Xiao-Jun Wu, Tariq S. Durrani
Feature extraction and processing tasks play a key role in Image Fusion, and the fusion performance is directly affected by the different features and processing methods undertaken…
DenseFuse: A Fusion Approach to Infrared and Visible Images
Hui Li, Xiao-Jun Wu
In this paper, we present a novel deep learning architecture for infrared and visible images fusion problem. In contrast to conventional convolutional networks, our encoding networ…
Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
Hui Li, Xiao-Jun Wu
Among the representation learning, the low-rank representation (LRR) is one of the hot research topics in many fields, especially in image processing and pattern recognition. Altho…
Infrared and Visible Image Fusion using a Deep Learning Framework
Hui Li, Xiao-Jun Wu, Josef Kittler
In recent years, deep learning has become a very active research tool which is used in many image processing fields. In this paper, we propose an effective image fusion method usin…