Results 331 to 340 of about 3,028,783 (361)

Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology

Nature Biotechnology
Spatial transcriptomics (ST) has demonstrated enormous potential for generating intricate molecular maps of cells within tissues. Here we present iStar, a method based on hierarchical image feature extraction that integrates ST data and high-resolution ...
Daiwei Zhang, Amelia Schroeder, Hanying Yan, Haochen Yang, Jian Hu, Michelle Y. Y. Lee, K. S. Cho, K. Suszták, George X. Xu, M. Feldman, Edward B. Lee, E. E. Furth, Linghua Wang, Mingyao Li   +13 more
semanticscholar   +1 more source

NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
E. Agustsson, R. Timofte
semanticscholar   +1 more source

Towards Evolutionary Super-Resolution

2018
Super-resolution reconstruction (SRR) allows for producing a high-resolution (HR) image from a set of low-resolution (LR) observations. The majority of existing methods require tuning a number of hyper-parameters which control the reconstruction process and configure the imaging model that is supposed to reflect the relation between high and low ...
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny   +3 more
openaire   +1 more source

Super-Resolution

Signal Recovery and Synthesis IV, 1992
We may define super-resolution as the ability to form an image with meaningful spatial frequency content at spatial frequencies for which the optical instrument has an optical transfer function (OTF) equal to zero. The 1964 paper by J. Harris1 showing that no two distinct, finite sized objects could result in the same (ordinary) focal plane image, no ...
openaire   +1 more source

Learning a Deep Convolutional Network for Image Super-Resolution

European Conference on Computer Vision, 2014
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang   +3 more
semanticscholar   +1 more source

A Deep Journey into Super-resolution

ACM Computing Surveys, 2021
Saeed Anwar, Salman Khan, Nick Barnes
exaly  

Single image super-resolution from transformed self-exemplars

Computer Vision and Pattern Recognition, 2015
Jia-Bin Huang, Abhishek Singh, N. Ahuja
semanticscholar   +1 more source

Image super-resolution: A comprehensive review, recent trends, challenges and applications

Information Fusion, 2023
Bhawna Goyal, Ayush Dogra, Vishal Goyal   +2 more
exaly  

High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation

Nature Methods, 2023
Hannah S Heil, Simão Coelho, Jonathon Nixon-Abell   +2 more
exaly  

Deep Learning for Image Super-Resolution: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Zhihao Wang, Steven C H Hoi
exaly