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Pixel-level image fusion: A survey of the state of the art
Pixel-level image fusion is designed to combine multiple input images into a fused image,
which is expected to be more informative for human or machine perception as compared to …
which is expected to be more informative for human or machine perception as compared to …
Recent advances and new guidelines on hyperspectral and multispectral image fusion
Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial
resolution owing to the limitations of imaging sensors. Image fusion is an effective and …
resolution owing to the limitations of imaging sensors. Image fusion is an effective and …
RFN-Nest: An end-to-end residual fusion network for infrared and visible images
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 most …
routine. It is invariably fusion-task specific and requires a careful consideration. The most …
NestFuse: An infrared and visible image fusion architecture based on nest connection and spatial/channel attention models
In this article, 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 …
develop nest connection-based network and spatial/channel attention models. The nest …
DenseFuse: A fusion approach to infrared and visible images
In this paper, we present a novel deep learning architecture for infrared and visible images
fusion problems. In contrast to conventional convolutional networks, our encoding network is …
fusion problems. In contrast to conventional convolutional networks, our encoding network is …
Infrared and visible image fusion using a deep learning framework
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 using a …
image processing fields. In this paper, we propose an effective image fusion method using a …
MDLatLRR: A novel decomposition method for infrared and visible image fusion
Image decomposition is crucial for many image processing tasks, as it allows to extract
salient features from source images. A good image decomposition method could lead to a …
salient features from source images. A good image decomposition method could lead to a …
Infrared and visible image fusion with ResNet and zero-phase component analysis
In image fusion approaches, feature extraction and processing are key tasks, and the fusion
performance is directly affected by the different features and processing methods …
performance is directly affected by the different features and processing methods …
Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters
In order to achieve perceptually better fusion of infrared (IR) and visible images than
conventional pixel-level fusion algorithms based on multi-scale decomposition (MSD), we …
conventional pixel-level fusion algorithms based on multi-scale decomposition (MSD), we …
TCCFusion: An infrared and visible image fusion method based on transformer and cross correlation
Infrared and visible image fusion aims to obtain a synthetic image that can simultaneously
exhibit salient objects and provide abundant texture details. However, existing deep …
exhibit salient objects and provide abundant texture details. However, existing deep …