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Multimodal Imaging and Image Fusion

2017
In 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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Image registration & image fusion

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010
This paper aims to present Image registration and Image fusion used for Image processing. Sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system ...
Smita Jangale, Shuneza Sayed
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Resilient image fusion

Proceedings 2000. International Workshop on Parallel Processing, 2002
The paper describes a distributed spectral-screening PCT algorithm for fusing hyper-spectral images in remote sensing applications. The algorithm provides intrusion tolerance from information warfare attacks using the notion of computational resiliency. This concept uses replication to achieve fault tolerance, but goes further to dynamically regenerate
Achalakul, Tiranee   +2 more
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Robust Image Fusion for Image Stabilization

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
Any motion of the camera during the image integration time may determine an image degradation known as motion blur. One approach to prevent this degradation, namely multi-frame image stabilization, consists of synthesizing a potentially motion blur free image by registering and fusing multiple short exposed image frames of the same scene. In this paper
Markku Vehvilainen, Marius Tico
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Image Fusion

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 Vusion: Image and Video Fusion

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015
It is not uncommon in many image acquisition solutions to balance a trade off between obtaining high resolution images at very low frame rates or acquiring a burst of low resolution images at higher frame rates. This paper introduces a novel image fusion framework for producing a high resolution video by augmenting analysed motion in a low resolution ...
Mostafa Hossny, Saeid Nahavandi
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Hyperspectral Image Fusion and Multitemporal Image Fusion by Joint Sparsity

IEEE Transactions on Geoscience and Remote Sensing, 2021
Different image fusion systems have been developed to deal with the massive amounts of image data for different applications, such as remote sensing, computer vision, and environment monitoring. However, the generalizability and versatility of these fusion systems remain unknown.
Han Pan   +3 more
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An image restoration by fusion

Pattern Recognition, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The study on the image fusion for multisource image

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010), 2010
Considering evaluation of multisource image fusion performance, various methods of subjective & quantitative and objective & qualitative assessments of multisource image fusion are discussed in this paper. Based on the relationship and individual characteristics of these measures, the synthetic evaluation system and criterions of multisource image ...
Yong Qing Fu, Baosen Song
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Hierarchical image fusion

Machine Vision and Applications, 1990
A hierarchical image fusion scheme is presented that preserves those details from the input images that are most relevant to visual perception. Results show that fused images present a more detailed representation of the scene and provide information that cannot be obtained by viewing the input images separately.
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