Results 11 to 20 of about 83,395 (347)
Anchored neighborhood deep network for single-image super-resolution
EURASIP Journal on Image and Video Processing, 2018 Real-time image and video processing is a challenging problem in smart surveillance applications. It is necessary to trade off between high frame rate and high resolution to meet the limited bandwidth requirement in many specific applications.
Wuzhen Shi +4 more
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Neighborhood Issue in Single-Frame Image Super-Resolution [PDF]
2005 IEEE International Conference on Multimedia and Expo, 2005 Super-resolution is the problem of generating one or a set of high-resolution images from one or a sequence of low-resolution frames. Most methods have been proposed for super-resolution based on multiple low resolution images of the same scene, which is called multiple-frame super-resolution.
Xu (Kevin) Su +4 more
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Single image super-resolution based on approximated Heaviside functions and iterative refinement. [PDF]
PLoS One, 2018 Wang XY, Huang TZ, Deng LJ.
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CoRR, 2021 This study presents a chronological overview of the single image super-resolution problem. We first define the problem thoroughly and mention some of the serious challenges. Then the problem formulation and the performance metrics are defined. We give an overview of the previous methods relying on reconstruction based solutions and then continue with ...
Baran Ataman, Mert Seker, David McKee
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Learning Curvelet-based Directional Dictionaries for Single Image Super Resolution [PDF]
AUT Journal of Electrical Engineering, 2021 Learning and reconstruction-based methods are the two main approaches to the solve single image super resolution (SISR) problem. In this paper, to exploit the advantages of both learning based and reconstruction based approaches, we propose a new SISR ...
Elhameh Mikaeli +2 more
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SUPER RESOLUTION FOR SINGLE SATELLITE IMAGE USING A GENERATIVE ADVERSARIAL NETWORK [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Inspired by the immense success of deep neural network in image processing and object recognition, learning-based image super resolution (SR) methods have been highly valued and have become the mainstream direction of super resolution research.
R. Li, W. Liu, W. Gong, X. Zhu, X. Wang
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Transformer for Single Image Super-Resolution
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Accepted by CVPR workshop ...
Zhisheng Lu +5 more
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Super-resolution microscopy based on interpolation and wide spectrum de-noising
Компьютерная оптика, 2023 In the conventional single-molecule localizations and super-resolution microscopy, the pixel size of a raw image is approximately equal to the standard deviation of the point spread function.
T. Cheng, T. Chenchen
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Super-resolution from a single image [PDF]
2009 IEEE 12th International Conference on Computer Vision, 2009 Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misalignments), and (ii) Example-Based super-resolution (learning correspondence between low and high resolution image patches from a database).
Daniel Glasner, Shai Bagon, Michal Irani
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Cross-View Attention Interaction Fusion Algorithm for Stereo Super-Resolution
Applied Sciences, 2023 In the process of stereo super-resolution reconstruction, in addition to the richness of the extracted feature information directly affecting the texture details of the reconstructed image, the texture details of the corresponding pixels between stereo ...
Yaru Zhang +3 more
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