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Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal, 2019
Super-Resolution (SR) of a single image is a classic problem in computer vision. The goal of image super-resolution is to produce a high-resolution image from a low-resolution image. This paper presents a popular model, super-resolution convolutional neural network (SRCNN), to solve this problem. This paper also examines an improvement to SRCNN using a
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Super-Resolution (SR) of a single image is a classic problem in computer vision. The goal of image super-resolution is to produce a high-resolution image from a low-resolution image. This paper presents a popular model, super-resolution convolutional neural network (SRCNN), to solve this problem. This paper also examines an improvement to SRCNN using a
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Structure preserving single image super-resolution
2016 IEEE International Conference on Image Processing (ICIP), 2016In this paper, we present a novel structure preserving method for single image super-resolution to well construct edge structures and small detail structures. In our approach, the sharp edges are recovered via a novel edge preserving interpolation technique based on a well estimated gradient field and the edge preserving method, which incorporate the ...
Fan Yang +5 more
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Single Image Super-Resolution for SAR Images
2021Single image Super-Resolution (SR) is a method to get a high-resolution image out of a single Low-Resolution (LR) image. SR is used in different domains, such as medical imaging, satellite imaging, and security imaging. Using SR compared to LR images speeds up training convergence and boosts recognition and segmentation accuracy.
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Single-frame super resolution image embedding
2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015The multi-frame super resolutions have an admirable mathematical formulations and justification to combine the information of manifold LR images to get a HR one. Furthermore it has direct application for spatial video Super Resolution. Theoretically and sometimes for real images under global transformation those algorithm produces excellent results ...
Indu Sahu, Ashish Dewangan
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Non-parametric single image super resolution
The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2013In this paper, we introduce a single image super resolution based on non-parametric local information. The basic idea of the proposed method is to use a property, which is inferred by relations between input and its lower resolution images, of an unknown high resolution image.
Yunsang Han +2 more
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Edge-preserving single image super-resolution
Proceedings of the 19th ACM international conference on Multimedia, 2011This paper proposes a novel approach to single image super-resolution. First, an image up-sampling scheme is proposed which takes the advantages of both bilateral filtering and mean shift image segmentation. Then we use a shock filter to enhance strong edges in the initial up-sampling result and obtain an intermediate high-resolution image. Finally, we
Qiang Zhou +3 more
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Colorization for Single Image Super Resolution
2010This paper introduces a new procedure to handle color in single image super resolution (SR). Most existing SR techniques focus primarily on enforcing image priors or synthesizing image details; less attention is paid to the final color assignment. As a result, many existing SR techniques exhibit some form of color aberration in the final upsampled ...
Shuaicheng Liu +3 more
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Single-Image Super-Resolution: A Survey
2019Single-image super-resolution has been broadly applied in many fields such as military term, medical imaging, etc. In this paper, we mainly focus on the researches of recent years and classify them into non-deep learning SR algorithms and deep learning SR algorithms.
Tingting Yao +4 more
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Super-Resolution Fluorescence Microscopy for Single Cell Imaging
2018In the past two decades, super-resolution fluorescence microscopy has undergone a dynamic evolution. Following proof-of-concept studies with stimulated emission depletion (STED) microscopy, several new approaches such as structured illumination microscopy (SIM), photoactivation localization microscopy (PALM) and stochastic optical reconstruction ...
Han, Feng +4 more
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Super resolution THz image from a single image
International Photonics and OptoElectronics, 2015We introduce a method to recover the super-resolution THz image from a single low resolution image. The method combines the multi-image super resolution and example-based super resolution methods to achieve a super resolution image from one or more low resolution THz images.
Qin Luo +5 more
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