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Journal articles on the topic 'Super-resolution'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Sheppard, Colin J. R. "Resolution and super-resolution." Microscopy Research and Technique 80, no. 6 (2017): 590–98. http://dx.doi.org/10.1002/jemt.22834.

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2

Komori, Hideki. "Super Resolution." Journal of The Institute of Image Information and Television Engineers 63, no. 10 (2009): 1400–1402. http://dx.doi.org/10.3169/itej.63.1400.

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3

Knight, Alex, Clemens F. Kaminski, and Markus Sauer. "Super-resolution fluorescent methods: where next for super-resolution?" Methods and Applications in Fluorescence 3, no. 3 (2015): 030201. http://dx.doi.org/10.1088/2050-6120/3/3/030201.

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4

Shen, Haoran, Puzheng Wang, Ming Lu, Chi Zhang, Jian Li, and Qin Wang. "Tactile-assisted point cloud super-resolution." Chinese Optics Letters 23, no. 5 (2025): 051102. https://doi.org/10.3788/col202523.051102.

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5

Huang, Fu Min, Yifang Chen, F. Javier Garcia de Abajo, and Nikolay I. Zheludev. "Optical super-resolution through super-oscillations." Journal of Optics A: Pure and Applied Optics 9, no. 9 (2007): S285—S288. http://dx.doi.org/10.1088/1464-4258/9/9/s01.

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6

Timothy K., Shih, and Chang Rong-chi. "Super-resolution inpainting." Journal of Zhejiang University-SCIENCE A 6, no. 6 (2005): 487–91. http://dx.doi.org/10.1631/jzus.2005.a0487.

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7

TAKAHASHI, A. "MAGNETIC SUPER RESOLUTION." Journal of the Magnetics Society of Japan 19, S_1_MORIS_94 (1995): S1_273–278. http://dx.doi.org/10.3379/jmsjmag.19.s1_273.

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8

de Souza, Natalie. "Super-resolution CLEM." Nature Methods 12, no. 1 (2014): 37. http://dx.doi.org/10.1038/nmeth.3239.

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9

Cox, Ben, and Paul Beard. "Super-resolution ultrasound." Nature 527, no. 7579 (2015): 451–52. http://dx.doi.org/10.1038/527451a.

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10

Graydon, Oliver. "Axial super-resolution." Nature Photonics 10, no. 7 (2016): 431. http://dx.doi.org/10.1038/nphoton.2016.130.

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11

Xiang, Limin, and Ke Xu. "Super-resolution writing." Nature Chemistry 11, no. 11 (2019): 969–71. http://dx.doi.org/10.1038/s41557-019-0359-x.

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12

Heckel, Reinhard, Veniamin I. Morgenshtern, and Mahdi Soltanolkotabi. "Super-resolution radar." Information and Inference 5, no. 1 (2016): 22–75. http://dx.doi.org/10.1093/imaiai/iaw001.

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13

Murakami, Y., A. Takahashi, and S. Terashima. "Magnetic super-resolution." IEEE Transactions on Magnetics 31, no. 6 (1995): 3215–20. http://dx.doi.org/10.1109/20.490331.

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14

Wackett, Lawrence P. "Super-resolution microscopy." Environmental Microbiology 18, no. 4 (2016): 1301–2. http://dx.doi.org/10.1111/1462-2920.13305.

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15

Sarode, Raj, Samiksha Varpe, Omkar Kolte, and Leena Ragha. "Image Super Resolution using Enhanced Super Resolution Generative Adversarial Network." ITM Web of Conferences 44 (2022): 03054. http://dx.doi.org/10.1051/itmconf/20224403054.

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Aside from enhancing the accuracy and speed of single picture modification utilizing fast and in-depth convolutional emotional networks, one significant challenge remains mostly commonly unaddressed, namely how do we recover soft texture details when we concentrate too much on exceptional improvement features? The resultant evaluations offer greater transmission ratings, but the high frequency data is non-existent and unsatisfactory mostly in sense that now it fails to meet the consistency anticipated in high resolution. The resulting ratings have higher signal-to-audio ratings, but the high f

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16

Pei, Wang, Tang Lin, Zhang Dou-Guo, et al. "Super-Resolution Imaging on Microfluidic Super-Resolution Near-Field Structure." Chinese Physics Letters 22, no. 7 (2005): 1625–27. http://dx.doi.org/10.1088/0256-307x/22/7/018.

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17

Demmerle, Justin, Eva Wegel, Lothar Schermelleh, and Ian M. Dobbie. "Assessing resolution in super-resolution imaging." Methods 88 (October 2015): 3–10. http://dx.doi.org/10.1016/j.ymeth.2015.07.001.

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18

Dubey, Shalini, Prof Pankaj Sahu, and Prof Surya Bazal. "Literature Review on Single Image Super Resolution." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 2485–90. http://dx.doi.org/10.31142/ijtsrd18339.

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19

Lin Dan-Ying and Qu Jun-Le. "Recent progress on super-resolution imaging and correlative super-resolution microscopy." Acta Physica Sinica 66, no. 14 (2017): 148703. http://dx.doi.org/10.7498/aps.66.148703.

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20

Shreyas, D. G., Sumanth Kaushik V, and H. S. Gururaja. "Suitability of Single Image Super-Resolution Models for Video Super-Resolution." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 368–71. https://doi.org/10.35940/ijeat.E9575.069520.

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This project is an attempt to understand the suitability of the Single image super resolution models to video super resolution. Super Resolution refers to the process of enhancing the quality of low resolution images and video. Single image super resolution algorithms refer to those algorithms that can be applied on a single image to enhance its resolution. Whereas, video super resolution algorithms are those algorithms that are applied to a sequence of frames/images that constitute a video to enhance its resolution. In this paper we determine whether single image super resolution models can b

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21

Li, Biao, Bo Wang, Jiabin Liu, Zhiquan Qi, and Yong Shi. "s-LWSR: Super Lightweight Super-Resolution Network." IEEE Transactions on Image Processing 29 (2020): 8368–80. http://dx.doi.org/10.1109/tip.2020.3014953.

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22

Long, Jun, Jinhuan Zhang, and Ping Du. "Super-sampling by learning-based super-resolution." International Journal of Computational Science and Engineering 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijcse.2019.10020177.

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23

Du, Ping, Jinhuan Zhang, and Jun Long. "Super-sampling by learning-based super-resolution." International Journal of Computational Science and Engineering 21, no. 2 (2020): 249. http://dx.doi.org/10.1504/ijcse.2020.105731.

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24

LeMieux, Julianna. "Super-Resolution Microscopy Can Be Super-Accessible." Genetic Engineering & Biotechnology News 44, no. 4 (2024): 24–26. http://dx.doi.org/10.1089/gen.44.04.09.

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25

Park, Saem, and Nojun Kwak. "Recurrently-Trained Super-Resolution." IEEE Access 9 (2021): 23191–201. http://dx.doi.org/10.1109/access.2021.3056061.

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26

Sugawara, Ko, Kohki Okabe, and Takashi Funatsu. "Super-resolution fluorescence microscope." Drug Delivery System 29, no. 4 (2014): 354–56. http://dx.doi.org/10.2745/dds.29.354.

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27

Barthélémy, Sébastien, Julien Brajard, Laurent Bertino, and François Counillon. "Super-resolution data assimilation." Ocean Dynamics 72, no. 8 (2022): 661–78. http://dx.doi.org/10.1007/s10236-022-01523-x.

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AbstractIncreasing model resolution can improve the performance of a data assimilation system because it reduces model error, the system can more optimally use high-resolution observations, and with an ensemble data assimilation method the forecast error covariances are improved. However, increasing the resolution scales with a cubical increase of the computational costs. A method that can more effectively improve performance is introduced here. The novel approach called “Super-resolution data assimilation” (SRDA) is inspired from super-resolution image processing techniques and brought to the

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28

Szalai, Alan M., Cecilia Zaza, and Fernando D. Stefani. "Super-resolution FRET measurements." Nanoscale 13, no. 44 (2021): 18421–33. http://dx.doi.org/10.1039/d1nr05769c.

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Recent advances combining FRET and super-resolution techniques are presented. This merger of methods is opening exciting opportunities to study the spatial organization and functional state of (bio)molecules and materials at the nanoscale.

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29

Lee, Jiun, Inyong Yun, and Jaekwang Kim. "Edge Profile Super Resolution." IEEE Access 9 (2021): 121305–15. http://dx.doi.org/10.1109/access.2021.3108998.

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30

Chen, Wangqiao, Hanbo Jiang, and Xun Huang. "Super-resolution acoustic imaging." Applied Physics Letters 120, no. 11 (2022): 112201. http://dx.doi.org/10.1063/5.0086850.

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This work reports a super-resolution acoustic imaging method that inverses source distribution, strength, and structure in three-dimensional space. The nonlinear coupling process between a low-frequency sound field and a high-frequency plane wave is endowed to break the resolution limit. The reconstructed results for different source strengths and frequencies demonstrate the capability of the proposed method. The results show that the proposed method is very suitable for low-frequency source imaging, which could strengthen the super-resolution analysis capability of acoustic imaging tests and,

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31

Davis, Ilan. "The ‘super-resolution’ revolution." Biochemical Society Transactions 37, no. 5 (2009): 1042–44. http://dx.doi.org/10.1042/bst0371042.

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We are currently in the midst of an exciting revolution in microscopy. In many ways, this has been happening for several decades, but it is the rate of development of new methods that has increased recently. The last few years have seen an impressive proliferation of new instruments for imaging at higher resolution, imaging single molecules and faster and more sensitive multidimensional live cell imaging. These include light sheet microscopy, stimulated emission depletion, structured illumination and live cell imaging on the OMX (optical microscopy experimental) platform. However, new probes a

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32

Rowlands, Christopher J., Elijah Y. S. Yew, and Peter T. C. So. "Parallel super-resolution imaging." Nature Methods 10, no. 8 (2013): 709–10. http://dx.doi.org/10.1038/nmeth.2567.

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33

de Souza, Natalie. "Structure via super-resolution." Nature Methods 15, no. 1 (2018): 30. http://dx.doi.org/10.1038/nmeth.4543.

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34

Huang, Bo, Mark Bates, and Xiaowei Zhuang. "Super-Resolution Fluorescence Microscopy." Annual Review of Biochemistry 78, no. 1 (2009): 993–1016. http://dx.doi.org/10.1146/annurev.biochem.77.061906.092014.

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35

Shechtman, E., Y. Caspi, and M. Irani. "Space-time super-resolution." IEEE Transactions on Pattern Analysis and Machine Intelligence 27, no. 4 (2005): 531–45. http://dx.doi.org/10.1109/tpami.2005.85.

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36

Won, Rachel. "The super-resolution debate." Nature Photonics 12, no. 5 (2018): 259–61. http://dx.doi.org/10.1038/s41566-018-0164-x.

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37

Strack, Rita. "Gentler super-resolution microscopy." Nature Methods 15, no. 10 (2018): 764. http://dx.doi.org/10.1038/s41592-018-0159-z.

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38

Vogt, Nina. "Super-resolution Raman imaging." Nature Methods 16, no. 12 (2019): 1202. http://dx.doi.org/10.1038/s41592-019-0677-3.

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39

Haefner, Bjoern, Songyou Peng, Alok Verma, Yvain Queau, and Daniel Cremers. "Photometric Depth Super-Resolution." IEEE Transactions on Pattern Analysis and Machine Intelligence 42, no. 10 (2020): 2453–64. http://dx.doi.org/10.1109/tpami.2019.2923621.

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40

D. G. Carvalho, Isabela, Percy Nohama, and Guilherme N. Nogueira. "General Super-Resolution Techniques." International Journal of Online and Biomedical Engineering (iJOE) 20, no. 14 (2024): 160–76. http://dx.doi.org/10.3991/ijoe.v20i14.50107.

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Super-resolution (SR) is a technique aimed at improving the resolution of images. In blood cell imaging, it aids in the accurate identification and classification of cells. Improving the analysis process of microscopic images is necessary to achieve better disease diagnoses, especially the image quality, so that health professionals can reach a diagnosis closer to the ideal. For those aiming to implement SR algorithms to analyze microscopic blood cell images, it is crucial to determine which algorithms are in use, their intended purposes, future trends, and current gaps. No review of SR techni

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41

Haris, Muhammad, M. Rahmat Widyanto, and Hajime Nobuhara. "Inception learning super-resolution." Applied Optics 56, no. 22 (2017): 6043. http://dx.doi.org/10.1364/ao.56.006043.

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42

Holden, Seamus, and Daniel Sage. "Super-resolution fight club." Nature Photonics 10, no. 3 (2016): 152–53. http://dx.doi.org/10.1038/nphoton.2016.22.

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43

Harris, T. D., R. D. Grober, J. K. Trautman, and E. Betzig. "Super-Resolution Imaging Spectroscopy." Applied Spectroscopy 48, no. 1 (1994): 14A—21A. http://dx.doi.org/10.1366/0003702944027589.

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44

Schermelleh, Lothar, Alexia Ferrand, Thomas Huser, et al. "Super-resolution microscopy demystified." Nature Cell Biology 21, no. 1 (2019): 72–84. http://dx.doi.org/10.1038/s41556-018-0251-8.

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45

Christensen-Jeffries, Kirsten, Olivier Couture, Paul A. Dayton, et al. "Super-resolution Ultrasound Imaging." Ultrasound in Medicine & Biology 46, no. 4 (2020): 865–91. http://dx.doi.org/10.1016/j.ultrasmedbio.2019.11.013.

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46

Donaldson, Laurie. "Advanced super-resolution microscopy." Materials Today 16, no. 5 (2013): 165. http://dx.doi.org/10.1016/j.mattod.2013.05.015.

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47

Mugnai, D., A. Ranfagni, and R. Ruggeri. "Pupils with super-resolution." Physics Letters A 311, no. 2-3 (2003): 77–81. http://dx.doi.org/10.1016/s0375-9601(03)00445-6.

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48

Hussain, Anwar, and Asloob A. Mudassar. "Holography based super resolution." Optics Communications 285, no. 9 (2012): 2303–10. http://dx.doi.org/10.1016/j.optcom.2012.01.022.

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49

Mortensen, Kim I., L. Stirling Churchman, James A. Spudich, and Henrik Flyvbjerg. "Optimizing Super Resolution Microscopy." Biophysical Journal 98, no. 3 (2010): 182a. http://dx.doi.org/10.1016/j.bpj.2009.12.972.

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50

Moon Gi Kang and S. Chaudhuri. "Super-resolution image reconstruction." IEEE Signal Processing Magazine 20, no. 3 (2003): 19–20. http://dx.doi.org/10.1109/msp.2003.1203206.

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