Results 161 to 170 of about 18,250,440 (204)
Deep Learning for Localization Microscopy in 2D and 3D. [PDF]
Acc Chem ResGoldenberg O, Xiao D, Shechtman Y.
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Single-Image Super-Resolution: A Benchmark [PDF]
Lecture Notes in Computer Science, 2014 Single-image super-resolution is of great importance for vision applications, and numerous algorithms have been proposed in recent years. Despite the demonstrated success, these results are often generated based on different assumptions using different datasets and metrics.
Ming-Hsuan Yang, Chih-Yuan Yang
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Super-Resolution From a Single Image [PDF]
2009 IEEE 12th International Conference on Computer Vision, 2009 Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misalignments), and (ii) Example-Based super-resolution (learning correspondence between low and high resolution image patches from a database).
Shai Bagon, Michal Irani
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Single-Image Super-Resolution: A Survey
2019Single-image super-resolution has been broadly applied in many fields such as military term, medical imaging, etc. In this paper, we mainly focus on the researches of recent years and classify them into non-deep learning SR algorithms and deep learning SR algorithms.
Tingting Yao +4 more
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Single Image Super-Resolution for Medical Image Applications
2020In medical imaging, high-resolution images are expected to have the ability to deliver a more precise diagnosis with the practical application of high-resolution displays. This research proposes a deep learning method for single image super-resolution that learns an end-to-end mapping between the low and high-resolution images.
Tamarafinide V. Dittimi, Ching Y. Suen
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Single Image Super-resolution with Self-similarity
2019 IEEE International Conference on Consumer Electronics (ICCE), 2019Degraded low-resolution (LR) images are often obtained from cameras. Resolution enhancement and image restoration are very practical in many fields such as medical imaging, surveillance system and remote sensing. Single image super-resolution is a technique which reconstruct a restored high-resolution (HR) image from a degraded LR image. In this paper,
Yoojun Nam +3 more
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Single-molecule super-resolution imaging in bacteria
Current Opinion in Microbiology, 2012Bacteria have evolved complex, multi-component cellular machineries to carry out fundamental cellular processes such as cell division/separation, locomotion, protein secretion, DNA transcription/replication, or conjugation/competence. Diffraction of light has so far restricted the use of conventional fluorescence microscopy to reveal the composition ...
D I, Cattoni, J B, Fiche, M, Nöllmann
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Structure preserving single image super-resolution
2016 IEEE International Conference on Image Processing (ICIP), 2016In this paper, we present a novel structure preserving method for single image super-resolution to well construct edge structures and small detail structures. In our approach, the sharp edges are recovered via a novel edge preserving interpolation technique based on a well estimated gradient field and the edge preserving method, which incorporate the ...
Fan Yang 0053 +5 more
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