Articles with "visible images" as a keyword



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An Optimal Algorithm for Fusion of Passive Millimeter Wave and Visible Images Based on Non-subsampled Shearlet Transform and Improved Spiking Cortical Model

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Published in 2018 at "Wireless Personal Communications"

DOI: 10.1007/s11277-018-5950-8

Abstract: The purpose of this paper is to propose an algorithm and a novel method for fusion of Passive Millimeter Wave (PMMW) images with their visible images by using Non-subsampled Shearlet Transform (NSST) based on the… read more here.

Keywords: image; visible images; millimeter wave; fusion passive ... See more keywords
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Two-stream network for infrared and visible images fusion

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.05.034

Abstract: Abstract Long-wave infrared(thermal) images distinguish the target and background according to different thermal radiation. They are insensitive to light conditions, and cannot present details obtained from reflected light. By contrast, the visible images have high… read more here.

Keywords: visible images; two stream; images fusion; infrared visible ... See more keywords
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FSADFuse: A Novel Fusion Approach to Infrared and Visible Images

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3119347

Abstract: To address the problems of edge blur and weak detail resolution when fusing infrared and visible images with traditional methods, a novel image fusion approach based on fast super-resolution convolutional neural network and anisotropic diffusion… read more here.

Keywords: resolution; fusion approach; infrared visible; visible images ... See more keywords
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Deep Learning L2 Norm Fusion for Infrared & Visible Images

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3164426

Abstract: Fusion is a strategy for collecting data from multiple images in order to improve information quality. Infrared images can recognise objects from their surroundings depending mostly on radiation disparity, which works better in all weather… read more here.

Keywords: information; fused image; fusion; visible images ... See more keywords
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Synthetic aperture radar and color visible images fusion algorithm based on region division strategy

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Published in 2017 at "Journal of Applied Remote Sensing"

DOI: 10.1117/1.jrs.11.045012

Abstract: Abstract. Multisensor image fusion can be used as an advanced technique for image enhancement. A fusion method based on region division strategy is proposed for synthetic aperture radar (SAR) and color visible images. The SAR… read more here.

Keywords: image; visible images; color visible; sar target ... See more keywords
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Contrast-enhanced fusion of infrared and visible images

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Published in 2018 at "Optical Engineering"

DOI: 10.1117/1.oe.57.9.093111

Abstract: Abstract. The fusion of infrared and visible images may result in low contrast, which is unsuitable for observation by human eyes. Thus, we propose a contrast-enhanced fusion algorithm with nonsubsampled shearlet transform (NSST) frames, in… read more here.

Keywords: fusion infrared; infrared visible; contrast; frequency ... See more keywords
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The Fusion of Unmatched Infrared and Visible Images Based on Generative Adversarial Networks

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Published in 2020 at "Mathematical Problems in Engineering"

DOI: 10.1155/2020/3739040

Abstract: Visible images contain clear texture information and high spatial resolution but are unreliable under nighttime or ambient occlusion conditions. Infrared images can display target thermal radiation information under day, night, alternative weather, and ambient occlusion… read more here.

Keywords: generative adversarial; information; based generative; adversarial networks ... See more keywords
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SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.48550/arxiv.2204.11436

Abstract: The existing deep learning fusion methods mainly concentrate on convolutional neural networks (CNNs), and few attempts are made with transformer. Meanwhile, the convolutional operation is a content-independent interaction between the image and the convolution kernel,… read more here.

Keywords: network; swinfuse; fusion; visible images ... See more keywords