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2021
In practical applications, some contents or features in an image need to be observed at a specific resolution to be easily seen or detected. Therefore, using multi-resolution images can often extract image features more effectively and obtain image content more actually (Kropatsch and Bischof 2004; Zhang 2017a).
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In practical applications, some contents or features in an image need to be observed at a specific resolution to be easily seen or detected. Therefore, using multi-resolution images can often extract image features more effectively and obtain image content more actually (Kropatsch and Bischof 2004; Zhang 2017a).
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Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology, 2001
Allan G. Farman, Taeko T. Farman
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Allan G. Farman, Taeko T. Farman
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Image super-resolution using only low-resolution images
The Visual Computer, 2022Fan Wang, Dong Yin, Ruiyuan Song
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2013
In the last two decades, high-resolution imaging of the skeleton has emerged as a growing field of research. Techniques such as high-resolution peripheral quantitative computed tomography (HR-pQCT) and high-resolution magnetic resonance imaging (HR-MRI) provide noninvasive access to bone microarchitecture, an important determinant of bone quality. High-
Janina M. Patsch, Jan S. Bauer
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In the last two decades, high-resolution imaging of the skeleton has emerged as a growing field of research. Techniques such as high-resolution peripheral quantitative computed tomography (HR-pQCT) and high-resolution magnetic resonance imaging (HR-MRI) provide noninvasive access to bone microarchitecture, an important determinant of bone quality. High-
Janina M. Patsch, Jan S. Bauer
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The Journal of microwave power and electromagnetic energy : a publication of the International Microwave Power Institute, 2014
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High Resolution Image Generation Using Learning Super-Resolution for Low Resolution Images
2022 4th International Conference on Computer Communication and the Internet (ICCCI), 2022Koki Nakayama, Tomio Goto
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2010
This chapter describes a procedure for evaluating imager resolution. A resolution metric is presented that predicts the effect of imager blur, noise, and sampling on the probability of correctly identifying targets. The targeting task performance (TTP) metric predicts the results of the target identification experiments described in Chapter 6.
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This chapter describes a procedure for evaluating imager resolution. A resolution metric is presented that predicts the effect of imager blur, noise, and sampling on the probability of correctly identifying targets. The targeting task performance (TTP) metric predicts the results of the target identification experiments described in Chapter 6.
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NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017E. Agustsson, Radu Timofte
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2015
Interferometric observations need snapshots of very high time resolution of the order of (i) frame integration of about 100 Hz or (ii) photon-recording rates of several megahertz (MHz). Detectors play a key role in astronomical observations, and since the explanation of the photoelectric effect by Albert Einstein, the technology has evolved ...
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Interferometric observations need snapshots of very high time resolution of the order of (i) frame integration of about 100 Hz or (ii) photon-recording rates of several megahertz (MHz). Detectors play a key role in astronomical observations, and since the explanation of the photoelectric effect by Albert Einstein, the technology has evolved ...
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