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Super-Resolution Reconstruction of Radio Tomographic Image
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016To improve the resolution of radio tomographic image and get more details of the target, this paper introduces nonuniform interpolation, projection onto convex sets and structure-adaptive normalized convolution approaches for image reconstruction from a series of radio tomographic images.
Cheng Sun 0005, Fei Gao, Heng Liu 0001
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A super-resolution reconstruction algorithm for surveillance images
Signal Processing, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liangpei Zhang 0001 +3 more
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A MAP Algorithm to Super-Resolution Image Reconstruction
Third International Conference on Image and Graphics (ICIG'04), 2005Super-resolution image reconstruction has been one of the most active research areas in recent years. In this paper, a new super-resolution algorithm is proposed to the problem of obtaining a high-resolution image from several low-resolution images that have been sub-sampled and displaced by different amounts of sub-pixel shifts. The algorithm is based
Huanfeng Shen +3 more
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Super-resolution image reconstruction for video sequence
Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011Because of motion, optical and sensor PSF, image resolution is usually not high in video image. To solve this problem this paper firstly proposes a model of image degradation. Then using the continuous frames which is taken from the same scene, it adopts the cubic spline interpolate method for motion compensation.
Xianghua Hou, Honghai Liu 0002
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Super-resolution image reconstruction for mobile devices
Multimedia Systems, 2012With advanced mobile devices, the mobile applications of the high-definition display attract a lot of attentions nowadays. The existing image super-resolution methods are computationally inefficient for the high-definition display on the mobile devices.
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Super-Resolution Reconstruction of MRI
2016Magnetic Resonance Imaging (MRI) is a non-invasive technique that is used in clinical applications such as diseases diagnosis and monitoring and treatment progress. Although, MRI scans typically have high in-plane resolution but they have very poor resolution in slice direction.
Gharabaghi, Sara +2 more
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Limitation of Super Resolution Image Reconstruction for Video
2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks, 2013Super resolution image reconstruction (SRR) is one of the typical super resolution (SR) technologies that has been researched in the past with varying results. The SRR algorithm was proposed for still images at first and was extended to video. However, there are different characteristics between still images and video.
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Parametric regularization loss in super-resolution reconstruction
Machine Vision and Applications, 2022Supatta Viriyavisuthisakul +4 more
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