General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks
Sensors, 2022 In this paper, we propose a unified and flexible framework for general image fusion tasks, including multi-exposure image fusion, multi-focus image fusion, infrared/visible image fusion, and multi-modality medical image fusion. Unlike other deep learning-
Yifan Xiao +3 more
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Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods [PDF]
, 2005 Usual image fusion methods inject features from a high spatial resolution panchromatic sensor into every low spatial resolution multispectral band trying to preserve spectral signatures and improve spatial resolution to that of the panchromatic sensor ...
Fors Aldrich, Octavi +7 more
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Infrared and visible image fusion based on particle swarm optimization and dense block
Frontiers in Energy Research, 2022 Infrared and visible image fusion aims to preserve essential thermal information and crucial visible details from two types of input images to generate an informative fusion image for better visual perception. In recent years, several hybrid methods have
Jing Zhang +3 more
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A system for gaze-contingent image analysis and multi-sensorial image display [PDF]
, 2003 A novel system for gaze-contingent image analysis and multisensorial image display is described. The observer's scanpaths are recorded while viewing and analysing 2D or 3D (volumetric) images.
Gilchrist, Iain D +16 more
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An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information
IEEE Access, 2021 Infrared and visible image fusion is a hot topic due to the perfect complementarity of their information. There are two key problems in infrared and visible image fusion.
Qingqing Li +5 more
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Context enhancement through image fusion: A multiresolution approach based on convolution of cauchy distributions [PDF]
, 2008 A novel context enhancement technique is presented to automatically combine images of the same scene captured at different times or seasons. A unique characteristic of the algorithm is its ability to extract and maintain the meaningful information in the
Wan, T +4 more
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Multi-focus Image Fusion Based on Non-subsampled Discrete Wavelet Transform
Journal of Harbin University of Science and Technology, 2018 Image fusion is widely used in military，medical and other fields. Image fusion technology is to use a specific algorithm to synthesize two or more images into a new image.
GUO Ling-xin, YUAN Li-ying, WANG Fei-yue
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Fine-grained multi-focus image fusion based on edge features
Scientific Reports, 2023 Multi-focus image fusion is a process of fusing multiple images of different focus areas into a total focus image, which has important application value.
Bin Tian, Lichun Yang, Jianwu Dang
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Improving fusion of surveillance images in sensor networks using independent component analysis [PDF]
, 2007 In this paper we present a novel algorithm for fusion of multimodal surveillance images, based on ICA, which has an improved performance over sensor networks.
Cvejic, N, Canagarajah, CN, Bull, DR
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Multifeature Alignment and Matching Network for SAR and Optical Image Registration
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDue to the modal disparities between synthetic aperture radar (SAR) and optical images, effectively extracting modality-shared structural features is crucial for achieving accurate registration results.
Xin Hu +4 more
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