Results 121 to 130 of about 335,518 (164)
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2018
Das Hauptziel dieser Arbeit ist die Fusion mehrerer Bilder zu einem Einzelbild, das mehr Informationen bietet als die einzelnen Eingangsbilder. Wir verwirklichen diese Fusionsaufgaben in einem variationellen Rahmen. Zunächst präsentieren wir iterative Schemata, die sich gut für solche variationellen Probleme und verwandte Aufgaben eignen.
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Das Hauptziel dieser Arbeit ist die Fusion mehrerer Bilder zu einem Einzelbild, das mehr Informationen bietet als die einzelnen Eingangsbilder. Wir verwirklichen diese Fusionsaufgaben in einem variationellen Rahmen. Zunächst präsentieren wir iterative Schemata, die sich gut für solche variationellen Probleme und verwandte Aufgaben eignen.
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2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, 2012
The goal of the project is to compile a single picture from a series of shots made by a thermal camera. The reason for that is on the assembled picture it is much easier to examine the workspace important for the user. Because the initial series is shot by the same kind of camera, the traditional four phases can be used for the fusion: detection of ...
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The goal of the project is to compile a single picture from a series of shots made by a thermal camera. The reason for that is on the assembled picture it is much easier to examine the workspace important for the user. Because the initial series is shot by the same kind of camera, the traditional four phases can be used for the fusion: detection of ...
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2019
Image fusion encloses all data analysis strategies aiming at combining the information of several images obtained with the same platform or by different spectroscopic platforms. Image fusion can imply building a single multiset or multiway structure with all images involved or connecting the related individual images through regression models.
de Juan, Anna +3 more
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Image fusion encloses all data analysis strategies aiming at combining the information of several images obtained with the same platform or by different spectroscopic platforms. Image fusion can imply building a single multiset or multiway structure with all images involved or connecting the related individual images through regression models.
de Juan, Anna +3 more
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POP Image Fusion -- Derivative Domain Image Fusion without Reintegration
2015 IEEE International Conference on Computer Vision (ICCV), 2015There are many applications where multiple images are fused to form a single summary greyscale or colour output, including computational photography (e.g. RGB-NIR), diffusion tensor imaging (medical), and remote sensing. Often, and intuitively, image fusion is carried out in the derivative domain.
Graham D. Finlayson, Alex E. Hayes
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Image fusion with IKONOS images
SPIE Proceedings, 2003The techniques for fusion of satellite images with different spatial resolutions aims to enhance the image quality, that allows a better visual interpretation. Ideally, the resulting image must keep the spectral resolution, leading to a more precise image segmentation and classification. Many different methods have been proposed to perform image fusion
Mario J. Schneider +2 more
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Towards cognitive image fusion
Information Fusion, 2010The increasing availability and deployment of imaging sensors operating in multiple spectral bands has led to a large research effort in image fusion, resulting in a plethora of pixel-level image fusion algorithms. However, the cognitive aspects of multisensor image fusion have not received much attention in the development of these methods.
Alexander Toet +6 more
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Multimodal Imaging and Image Fusion
2017In multimodal imaging diverse imaging techniques are applied to the same subject usually within a limited time frame in order to capture the same functional, morphologic, and metabolic state of the subject. The historical most compelling need for multimodal imaging stems from the requirement to match functional or metabolic information captured with, e.
Wehrl, H., Amend, M., Thielcke, A.
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The Fusion of Image and Range Flow
2001We present quantitative results for computing local least squares and global regularized range flow using both image and range data. We first review the computation of local least squares range flow and then show how its computation can be cast in a global Horn and Schunck like regularization framework [15]. These computations are done using both range
John L. Barron, Hagen Spies
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MSDNet for Medical Image Fusion
2019Considering the DenseFuse only works in a single scale, we propose a multi-scale DenseNet (MSDNet) for medical image fusion. The main architecture of network is constructed by encoding network, fusion layer and decoding network. To utilize features at different scales, we add a multi-scale mechanism which uses three filters of different sizes to ...
Xu Song, Xiao-Jun Wu 0001, Hui Li 0037
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Image fusion meets deep learning: A survey and perspective
Information Fusion, 2021Hao Zhang, Han Xu, Xin Tian
exaly