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High-Throughput Hyperspectral and Multiplexed Super-Resolution Fluorescence Imaging by SP-STORM. [PDF]
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Coupled Deep Autoencoder for Single Image Super-Resolution
IEEE Transactions on Cybernetics, 2017Sparse coding has been widely applied to learning-based single image super-resolution (SR) and has obtained promising performance by jointly learning effective representations for low-resolution (LR) and high-resolution (HR) image patch pairs. However, the resulting HR images often suffer from ringing, jaggy, and blurring artifacts due to the strong ...
Kun, Zeng +4 more
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DCSR: Dilated Convolutions for Single Image Super-Resolution
IEEE Transactions on Image Processing, 2019Dilated convolutions support expanding receptive field without parameter exploration or resolution loss, which turn out to be suitable for pixel-level prediction problems. In this paper, we propose multiscale single image super-resolution (SR) based on dilated convolutions.
Zhendong Zhang +2 more
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Single Image Super-Resolution With Multiscale Similarity Learning
IEEE Transactions on Neural Networks and Learning Systems, 2013Example learning-based image super-resolution (SR) is recognized as an effective way to produce a high-resolution (HR) image with the help of an external training set. The effectiveness of learning-based SR methods, however, depends highly upon the consistency between the supporting training set and low-resolution (LR) images to be handled.
Zhang, Kaibing +3 more
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Analysis of Single Image Super Resolution Models
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022Image Super-Resolution (SR) is a set of image processing techniques which improve the resolution of images and videos. Deep learning approaches have made remarkable improvement in image super-resolution in recent years. This article aims and seeks to provide a comprehensive analysis on recent advances of models which has been used in image ...
Köprülü, Mertali +1 more
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Edge-Guided Single Depth Image Super Resolution
IEEE Transactions on Image Processing, 2014Recently, consumer depth cameras have gained significant popularity due to their affordable cost. However, the limited resolution and the quality of the depth map generated by these cameras are still problematic for several applications. In this paper, a novel framework for the single depth image superresolution is proposed.
, Jun Xie +2 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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