Results 21 to 30 of about 921,635 (283)
Fast all-focus image reconstruction method based on light field imaging [PDF]
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
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Fusing MPEG-7 visual descriptors for image classification [PDF]
This paper proposes three content-based image classification techniques based on fusing various low-level MPEG-7 visual descriptors. Fusion is necessary as descriptors would be otherwise incompatible and inappropriate to directly include e.g.
Avrithis, Yannis +5 more
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FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization
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
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General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks
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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Infrared and visible image fusion based on particle swarm optimization and dense block
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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Fine-grained multi-focus image fusion based on edge features
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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An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information
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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Image recognition technology plays an important role in advanced driver assistance systems (ADAS). The objective of this study is to explore the feasibility of using heterogeneous image fusion to improve the object detection performance of the ADAS ...
Ying-Cheng Lin +2 more
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Multi-focus Image Fusion Based on Non-subsampled Discrete Wavelet Transform
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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Registration and Fusion of Multi-Spectral Images Using a Novel Edge Descriptor
In this paper we introduce a fully end-to-end approach for multi-spectral image registration and fusion. Our method for fusion combines images from different spectral channels into a single fused image by different approaches for low and high frequency ...
Bar, Sharon Duvdevani +4 more
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