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2018
Image fusion at the pixel level can be implemented as simply as an arithmetic average; however, there are many techniques that improve on the simple methods. For example, a weighted sum of two or more input images is a valid image fusion. Principal component analysis (PCA) can be applied to decide the weights of input images (i.e., which input is more ...
Zheng Liu, Yufeng Zheng, Erik Blasch
openaire +1 more source
Image fusion at the pixel level can be implemented as simply as an arithmetic average; however, there are many techniques that improve on the simple methods. For example, a weighted sum of two or more input images is a valid image fusion. Principal component analysis (PCA) can be applied to decide the weights of input images (i.e., which input is more ...
Zheng Liu, Yufeng Zheng, Erik Blasch
openaire +1 more source
2018
An image fusion process should preserve all useful patterns from the source images while minimizing artifacts that could interfere with subsequent analyses or distract human observers. Given that it is nearly impossible to fuse images without introducing some form of distortion, measurements are necessary to present a fused image quality (IQ) for user ...
Zheng Liu, Yufeng Zheng, Erik Blasch
openaire +1 more source
An image fusion process should preserve all useful patterns from the source images while minimizing artifacts that could interfere with subsequent analyses or distract human observers. Given that it is nearly impossible to fuse images without introducing some form of distortion, measurements are necessary to present a fused image quality (IQ) for user ...
Zheng Liu, Yufeng Zheng, Erik Blasch
openaire +1 more source
2018
The availability of multiple sensors, big data repositories, and connected users provides a rich set of applications for image fusion. Fusion methods vary and their effectiveness can be compared using quantitative and qualitative approaches. Whereas the previous chapter discussed quantitative methods, this chapter describes qualitative methods. 10.1
Zheng Liu, Yufeng Zheng, Erik Blasch
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The availability of multiple sensors, big data repositories, and connected users provides a rich set of applications for image fusion. Fusion methods vary and their effectiveness can be compared using quantitative and qualitative approaches. Whereas the previous chapter discussed quantitative methods, this chapter describes qualitative methods. 10.1
Zheng Liu, Yufeng Zheng, Erik Blasch
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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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Image fusion meets deep learning: A survey and perspective
Information Fusion, 2021Hao Zhang, Han Xu, Xin Tian
exaly