19,442 Hits in 5.2 sec

Advancing biological super-resolution microscopy through deep learning: a brief review [article]

Tianjie Yang, Yaoru Luo, Wei Ji, Ge Yang
2021 arXiv   pre-print
We focus primarily on how deep learning ad-vances reconstruction of super-resolution images. Related key technical challenges are discussed.  ...  Despite the challenges, deep learning is set to play an indispensable and transformative role in the development of super-resolution microscopy.  ...  of China grant 91954201 under the major research program "Organellar interactomes for cellular homeostasis" and grant 31971289 to G.Y.), the Chinese Academy of Sciences (grant 292019000056), and the University  ... 
arXiv:2106.13064v1 fatcat:a7w7fzhqeneexgpvqs7rmqambi

Single Image Super-Resolution - A Quantitative Comparison

Lisha P P, Jayasree V K
2015 International Journal of Engineering Research and  
High resolution images improves the pictorial information for both human and automatic machine perception. This paper presents a comparison on well-known techniques of super resolution.  ...  Super-resolution (SR) techniques generates high resolution (HR) image from low resolution (LR) images.  ...  Single image super-resolution technique generates HR image from single low resolution image. In multi image super-resolution, high resolution image is generated from multiple low resolution images.  ... 
doi:10.17577/ijertv4is050888 fatcat:65vgcn5xkzckxdbqbozfsqv6ma

Video restoration and enhancement: algorithms and applications

Ling Shao, Jorge E. Caviedes, Kai-Kuang Ma, Erwin Bellers
2011 Signal, Image and Video Processing  
He proposes an algorithm for single image super-resolution based on example-based super-resolution and examplebased texture synthesis.  ...  In the article "A Survey on Super-resolution Imaging", Tian and Ma provide a comprehensive review of super-resolution image and video reconstruction methods developed in the literature and highlight the  ... 
doi:10.1007/s11760-010-0206-4 fatcat:z3epepa7dbhdlissyla4ljoecq

Special issue on deep learning for emerging big multimedia super-resolution

Valerio Bellandi, Abdellah Chehri, Salvatore Cuomo, Gwanggil Jeon
2021 Multimedia Systems  
Acknowledgements We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue  ...  One implementation of super-resolution SAR is that radar works in the spotlight mode.  ...  In the contribution by Kim "Image super-resolution model using an improved deep learning-based facial expression analysis," a deep learning model is proposed, which is used on a single image [3] .  ... 
doi:10.1007/s00530-021-00814-5 fatcat:oippyli63ferpkyoxe3c6qgzne

Survey on Single image Super Resolution Techniques

Rujul R. Makwana Rujul R. Makwana
2013 IOSR Journal of Electronics and Communication Engineering  
The key objective of super-resolution (SR) imaging is to reconstruct a higher-resolution image based on a set of images, acquired from the same scene and denoted as 'lowresolution' images, to overcome  ...  In this paper, we provide a comprehensive review of existing super-resolution techniques and highlight the future research challenges.  ...  Super-resolution techniques Image super resolution techniques can be mainly categorized as reconstruction based techniques and learning based techniques.  ... 
doi:10.9790/2834-0552333 fatcat:7crox5fouzh6dhe3nnwmqqo7pq

Advances and challenges in super-resolution

Sina Farsiu, Dirk Robinson, Michael Elad, Peyman Milanfar
2004 International journal of imaging systems and technology (Print)  
Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of low-resolution frames.  ...  Finally, some future challenges in Super-Resolution are outlined and discussed.  ...  Figure 7 . 7 Multi-frame color Super-Resolution implemented on a real-world data sequence.  ... 
doi:10.1002/ima.20007 fatcat:aaktwru3lndu5kz7mbvo4cseie

Underwater Image Enhancement Using Deep Residual Framework

Prof. Anuja Phapale, Atal Deshmukh, Keshav Katkar, Onkar Karale, Puja Kasture
2021 International Journal of Scientific Research in Science and Technology  
The traditional approaches include pre-processing the image using a descattering algorithm. The super-resolution (SR) method is applied.  ...  This paper comes up with a solution for underwater image enhancement using a deep residual framework.  ...  Wang, in this paper they want to tell some information about the deep residual framework and presented a generative model based on deep residual network for single image super-resolution of underwater  ... 
doi:10.32628/ijsrst218314 fatcat:x3vq4jnpgve2njoqm2lq2dkovq

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results [article]

Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini (+14 others)
2020 arXiv   pre-print
In contrast to single image super-resolution (SISR), VSR can benefit from additional information in the temporal domain.  ...  This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020.  ...  Acknowledgements We thank the AIM 2020 sponsors: Huawei, MediaTek, NVIDIA, Qualcomm, Google, and Computer Vision Lab (CVL), ETH Zurich.  ... 
arXiv:2009.06290v1 fatcat:bbgfzmwupfgcnigwr2onun4zzm

Robust statistics for image deconvolution

M.A. Lee, T. Budavári, R.L. White, C. Gulian
2017 Astronomy and Computing  
We show that high-quality image reconstruction is possible even in super-resolution and without the use of traditional regularization terms.  ...  We present a blind multiframe image-deconvolution method based on robust statistics.  ...  Acknowledgment The authors acknowledge valuable initial discussions about blind deconvolution ideas with Michael Hirsch for discussions on related topics.  ... 
doi:10.1016/j.ascom.2017.09.002 fatcat:fqjrc2cit5d2lma66dilesjwda

Survey on CNN based super resolution methods

Rafaa Amen Kazem, Jamila H. Suad, Huda Abdulaali Abdulbaqi
2021 Journal La Multiapp  
Multiple (many input images and one output image) or single (one input and one output) stages are used to convert low-resolution photos to high-resolution photos.  ...  The study examines super-resolution methods based on a convolutional neural network (CNN) for super-resolution mapping at the sub-pixel level, as well as its primary characteristics and limitations for  ...  In terms of current work and future directions, this study presents a review of convolutional neural network-based methods with improved resolution in image analysis challenges.  ... 
doi:10.37899/journallamultiapp.v2i4.444 fatcat:apjy2pjpfvenno6unrptjqm25e

Generative Adversarial Networks for Image Super-Resolution: A Survey [article]

Chunwei Tian, Xuanyu Zhang, Jerry Chun-Wen Lin, Wangmeng Zuo, Yanning Zhang
2022 arXiv   pre-print
Single image super-resolution (SISR) has played an important role in the field of image processing.  ...  Then, we analyze motivations, implementations and differences of GANs based optimization methods and discriminative learning for image super-resolution in terms of supervised, semi-supervised and unsupervised  ...  In this section, we analyze challenges of current GANs for image super-resolution and give corresponding solutions to facilitate the development of GANs for image super-resolution.  ... 
arXiv:2204.13620v1 fatcat:hlwdqith65cxrbqrnbphjz6u4u

DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization [article]

Chaoli Wang, Jun Han
2022 arXiv   pre-print
However, existing survey papers on AI+VIS focus on visual analytics and information visualization, not scientific visualization (SciVis).  ...  In this paper, we survey related deep learning (DL) works in SciVis, specifically in the direction of DL4SciVis: designing DL solutions for solving SciVis problems.  ...  National Science Foundation through grants IIS-1455886, CNS-1629914, DUE-1833129, IIS-1955395, IIS-2101696, and OAC-2104158.  ... 
arXiv:2204.06504v1 fatcat:33fc2smtuffwll6pghdffbebi4

A Survey on Detecting License Plates from Low Quality Images

S. Neeraja, S. Rathi
2018 International Journal of Computer Applications  
It is realized that image enhancement techniques are superior to image super-resolution techniques for improving low quality images.  ...  Super-resolution and enhancement techniques are discussed to overcome the problems faced by license plate recognition systems such as detecting license plates from blurred images.  ...  From the papers surveyed, it is realized that there are different methods and algorithms used for license plate detection, image enhancement and image super-resolutions based on various resolutions of  ... 
doi:10.5120/ijca2018916643 fatcat:e6q3rs5zsbgsbfj6cl6p54ev3a

A Deep Journey into Super-resolution: A survey [article]

Saeed Anwar, Salman Khan, Nick Barnes
2020 arXiv   pre-print
single image super-resolution.  ...  Deep convolutional networks based super-resolution is a fast-growing field with numerous practical applications.  ...  The super-resolution methods [47] , [81] based on the GAN framework are explained next. SRGAN Single image super-resolution by large up-scaling factors is very challenging.  ... 
arXiv:1904.07523v3 fatcat:ovihxjadfja55hrytvhggj5c6q

Special issue on video and imaging systems for critical engineering applications [SI 1096]

Gwanggil Jeon, Awais Ahmad, Abdellah Chehri, Salvatore Cuomo
2020 Multimedia tools and applications  
, harsh environment, requires the growth of multifunctional, scalable imaging suit of sensors, solutions driven by novelty, operating on diverse detection and imaging principles.  ...  In addition, the complication of involved imaging scenarios, and demanding design parameters, i.e., signal to noise ratio, high speed specification, high contrast and spatial resolution, complex background  ...  Acknowledgments We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue  ... 
doi:10.1007/s11042-020-08672-5 fatcat:dmusbepcancb5i6jqo7hhf6a2m
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