Results 21 to 30 of about 12,653,288 (308)
A Novel Multi-Modality Image Simultaneous Denoising and Fusion Method Based on Sparse Representation
Computers, 2021 Multi-modality image fusion applied to improve image quality has drawn great attention from researchers in recent years. However, noise is actually generated in images captured by different types of imaging sensors, which can seriously affect the ...
Guanqiu Qi +4 more
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An FPGA implementation of pattern-Selective pyramidal image fusion [PDF]
, 2006 The aim of image fusion is to combine multiple images (from one or more sensors) into a single composite image that retains all useful data without introducing artefacts.
Sims, Oliver +5 more
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Fusion of visible and infrared images using GE-WA model and VGG-19 network
Scientific Reports, 2023 For the low computational efficiency, the existence of false targets, blurred targets, and halo occluded targets of existing image fusion models, a novel fusion method of visible and infrared images using GE-WA model and VGG-19 network is proposed. First,
Weiqiang Fan, Xiaoyu Li, Zhongchao Liu
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Enhancing underwater images by fusion [PDF]
ACM SIGGRAPH 2011 Posters, 2011 When photographs are taken in underwater conditions the visibility of the scene is degraded significantly. This is due to the fact that the radiance of a point in the scene is directly influenced by the medium scattering. Practically, distant objects and part of the scene suffers from poor visibility, loss of contrast and faded colors.
Cosmin Ancuti +3 more
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Image fusion in the JPEG 2000 domain [PDF]
, 2006 This paper presents a novel approach to image fusion in the JPEG 2000 domain. In this scheme, compressed images are fused without the need for full decompression. The proposed method can be integrated with the existing JPEG 2000 tools.
Canga, EF +5 more
core +1 more source
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Peer ...
Comino Trinidad, Marc +3 more
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Multiresolution-based image fusion with additive wavelet decomposition [PDF]
, 1999 The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data.
Fors Aldrich, Octavi +8 more
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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
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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
core +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