Results 221 to 230 of about 2,324,354 (261)
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Nature Chemistry, 2019
The in situ, nanoscale positioning of a single molecule below the diffraction limit remains a challenge for chemists. Now, two approaches show how this can be accomplished through a combination of super-resolution microscopy and photo-inducible crosslinking chemistry.
Limin, Xiang, Ke, Xu
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The in situ, nanoscale positioning of a single molecule below the diffraction limit remains a challenge for chemists. Now, two approaches show how this can be accomplished through a combination of super-resolution microscopy and photo-inducible crosslinking chemistry.
Limin, Xiang, Ke, Xu
openaire +2 more sources
Super-Sampling by Learning-Based Super-Resolution
International Journal of Computational Science and Engineering, 2018In this paper, we present a novel problem of intelligent image processing, which is how to infer a finer image in terms of intensity levels for a given image. We explain the motivation for this effort and present a simple technique that makes it possible to apply the existing learning-based super-resolution methods to this new problem.
Ping Du, Jinhuan Zhang, Jun Long
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Super-resolution for high-resolution displays
2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE), 2014We propose a super-resolution system for high-resolution displays that decomposes the input image into a structure component and a texture component using total variation regularization. The structure component is processed using a shock filter and the texture component is processed by a pulse enhancement filter. This system requires less computational
Kyohei Goto +4 more
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2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011
The objective of this work is to increase the range resolution of time-of-flight (ToF) cameras. Our work aims to produce a super-resolution depth map and reduce the depth error within the whole work volume using a novel multi-exposure data acquisition technique and Projection Onto Convex Sets(POCS) reconstruction.
Murat Gevrekci, Kubilay Pakin
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The objective of this work is to increase the range resolution of time-of-flight (ToF) cameras. Our work aims to produce a super-resolution depth map and reduce the depth error within the whole work volume using a novel multi-exposure data acquisition technique and Projection Onto Convex Sets(POCS) reconstruction.
Murat Gevrekci, Kubilay Pakin
openaire +2 more sources
A Deep Journey Into Super-Resolution
ACM Computing Surveys, 2021Saeed Anwar, Nick Barnes, Salman H. Khan
exaly
Deep Learning for Image Super-Resolution: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Steven C H Hoi, Zhihao Wang, Jian Chen
exaly
Deep Learning-Based Face Super-Resolution: A Survey
ACM Computing Surveys, 2023Junjun Jiang, Xianming Liu, Jiayi Ma
exaly
Image Super-Resolution via Iterative Refinement
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023William Chan, David J Fleet
exaly
Image Super-Resolution: A Comprehensive Review, Recent Trends, Challenges and Applications
Information Fusion, 2023Ayush Dogra, Bhawna Goyal
exaly