Results 81 to 90 of about 18,250,440 (204)
Single Image Super Resolution in Spatial and Wavelet Domain
The International journal of Multimedia & Its Applications, 2013 Recently single image super resolution is very important research area to generate high resolution image from given low resolution image. Algorithms of single image resolution are mainly based on wavelet domain and spatial domain. Filters support to model the regularity of natural images is exploited in wavelet domain while edges of images get sharp ...
Sapan Naik, Nikunj Patel
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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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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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Real-World Single Image Super-Resolution Under Rainy Condition
, 2022 Image super-resolution is an important research area in computer vision that has a wide variety of applications including surveillance, medical imaging etc.
Uddin, Mohammad Shahab
core
Deep learning based single image super-resolution : a survey [PDF]
, 2018 Image super-resolution is a process of obtaining one or more high-resolution image from single or multiple samples of low-resolution images. Due to its wide applications, a number of different techniques have been developed recently, including ...
Ha, Viet Khanh +11 more
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A Novel PDE-Based Single Image Super-Resolution Reconstruction Method
, 2017 For applications such as remote sensing imaging and medical imaging, high-resolution (HR) images are urgently required. Image Super-Resolution (SR) reconstruction has great application prospects in optical imaging.
Zhao, Xiaodong +3 more
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Large receptive field convolutional neural network for image super-resolution
, 2017 This paper presents a new approach to Single Image Super Resolution (SISR), based upon Convolutional Neural Network (CNN). Although the SISR is ill-posed which can be seen as finding a non-linear mapping from a low to high dimensional space.
Wang Q(王强) +3 more
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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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Advance Neighbor Embedding for Image Super Resolution [PDF]
, 2013 This paper presents the Advance Neighbor embedding (ANE) method for image super resolution. The assumption of the neighbor-embedding (NE) algorithm for single-image super-resolution Reconstruction is that the feature spaces are locally isometric of low ...
Dr. Ruikar Sachin D +3 more
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