Results 1 to 10 of about 388,321 (273)
Guided Dual Networks for Single Image Super-Resolution
IEEE Access, 2020 The PSNR-oriented super-resolution (SR) methods pursue high reconstruction accuracy, but tend to produce over-smoothed results and lose plenty of high-frequency details.
Wenhui Chen +5 more
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Suitability of Single Image Super Resolution Models for Video Super Resolution
International Journal of Engineering and Advanced Technology, 2020 This project is an attempt to understand the suitability of the Single image super resolution models to video super resolution. Super Resolution refers to the process of enhancing the quality of low resolution images and video. Single image super resolution algorithms refer to those algorithms that can be applied on a single image to enhance its ...
Shreyas D G +2 more
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Image Super-resolution Reconstruction of Functional Composite Deep Network
Jisuanji kexue yu tansuo, 2020 Aiming at the problems of weak inter-layer connections, single network concerns and insufficient utilization of layered features in the existing single-image super-resolution reconstruction using simple chain-stacked single network, a composite depth ...
TANG Jiajun, LIU Hui, HU Xueying
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Lightweight Reference-Based Video Super-Resolution Using Deformable Convolution
InformationSuper-resolution is a technique for generating a high-resolution image or video from a low-resolution counterpart by predicting natural and realistic texture information.
Tomo Miyazaki +2 more
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Super-Resolution with compressively sensed MR/PET signals at its input
Informatics in Medicine Unlocked, 2020 The aim of this paper is to present a highly effective Magnetic Resonance Imaging- Positron Emission Tomography (MR/PET) image reconstruction strategy allowing for simultaneous resolution enhancing and scanning time minimisation.
Krzysztof Malczewski
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Single Color Image Super Resolution
International Journal of Computer Applications, 2021 Tessamma Thomas, Reji A.P.
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A Sparse Analysis-Based Single Image Super-Resolution
Computers, 2019 In the current study, we were inspired by sparse analysis signal representation theory to propose a novel single-image super-resolution method termed “sparse analysis-based super resolution” (SASR).
Vahid Anari +2 more
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EURASIP Journal on Advances in Signal Processing, 2006 We present a novel hybrid scheme called "hyper-resolution" that integrates image probability-filtering-based interpolation and improved Poisson maximum a posteriori (MAP) super-resolution to respectively enhance high spatial and spatial-frequency ...
Pan Min-Cheng
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Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology
Sensors, 2019 Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points.
Yifan Yang +5 more
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Image Super-Resolution Using Complex-Valued Deep Convolutional Neural Network
Syrian Journal for Science and InnovationSingle image super-resolution (SISR) is a fundamental task in computer vision that aims to generate high-resolution images from low-resolution inputs. The Super-Resolution Convolutional Neural Network (SRCNN) is a widely used method for SISR, but it has ...
Hilda Zaher +2 more
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