Digital Image Progressive Fusion Method Based on Discrete Cosine Transform
Journal of Mathematics, 2023 The current progressive fusion methods for digital images have poor denoising performance, which leads to a decrease in image quality after progressive fusion.
Jiezi Chen
doaj +1 more source
Fast all-focus image reconstruction method based on light field imaging [PDF]
ITM Web of Conferences, 2022 To achieve high-quality imaging of all focal planes with large depth of field information, a fast all-focus image reconstruction technology based on light field imaging is proposed: combining light field imaging to collect field of view information, and ...
Wang Shuzhen, Zhao Haili, Jing Wenbo
doaj +1 more source
FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization
Computers, 2020 Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical image ...
Nishant Kumar, Stefan Gumhold
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Photography image enhancement by image fusion
Annales UMCS, Informatica, 2008 This paper presents an overview of two-dimensional image fusion methods using convolution filters and discrete wavelet transform developed by the authors. Image fusion is a process of combining two or more images of the same object into one extended composite image. It can extract features from source images and provide more information than one image.
Marcin Denkowski, Pawel Mikolajczak
openaire +2 more sources
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
doaj +1 more source