Results 21 to 30 of about 18,250,440 (204)

Deep coordinate attention network for single image super‐resolution

open access: yesIET Image Processing, 2022
Deep learning techniques and deep networks have recently been extensively studied and widely applied to single image super‐resolution (SR). Among them, channel attention has garnered the most focus owing to its significant boost in the presentational ...
Chao Xie, Hongyu Zhu, Yeqi Fei
doaj   +1 more source

Suitability of Single Image Super Resolution Models for Video Super Resolution

open access: yesInternational 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
openaire   +2 more sources

Edge-Informed Single Image Super-Resolution [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
The recent increase in the extensive use of digital imaging technologies has brought with it a simultaneous demand for higher-resolution images. We develop a novel edge-informed approach to single image super-resolution (SISR). The SISR problem is reformulated as an image inpainting task.
Kamyar Nazeri   +2 more
openaire   +4 more sources

Fast and simple super-resolution with single images

open access: yesScientific Reports, 2022
AbstractWe present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a difference penalty are combined; the former removes singularities, while the latter eliminates ringing. We exploit the conjugate
Eilers, Paul H. C., Ruckebusch, Cyril
openaire   +4 more sources

Analog Image Modeling for 3D Single Image Super Resolution and Pansharpening

open access: yesFrontiers in Applied Mathematics and Statistics, 2020
Image super-resolution is an image reconstruction technique which attempts to reconstruct a high resolution image from one or more under-sampled low-resolution images of the same scene.
Richard Lartey   +3 more
doaj   +1 more source

Pyramidal dense attention networks for single image super‐resolution

open access: yesIET Image Processing, 2022
Recently, residual and dense networks have effectively promoted the development of image super‐resolution (SR). However, most dense networks based SR methods do not make full use of dense feature information.
Huapeng Wu   +4 more
doaj   +1 more source

Analysis of Single Image Super Resolution Models

open access: yes2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022
Image 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
openaire   +1 more source

Super-fast Super-resolution With Single Images

open access: yes, 2022
Abstract We present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a difference penalty are combined; the former removes singularities, while the latter eliminates ringing.
Paul H.C. Eilers, Cyril Ruckebusch
openaire   +1 more source

Spatiotemporal super-resolution for low bitrate H.264 video [PDF]

open access: yes, 2010
Super-resolution and frame interpolation enhance low resolution low-framerate videos. Such techniques are especially important for limited bandwidth communications. This paper proposes a novel technique to up-scale videos compressed with H.264 at low bit-
Anantrasirichai, N   +3 more
core   +1 more source

Super Resolution for Noisy Images Using Convolutional Neural Networks

open access: yesMathematics, 2022
The images in high resolution contain more useful information than the images in low resolution. Thus, high-resolution digital images are preferred over low-resolution images.
Zaid Bin Mushtaq   +5 more
doaj   +1 more source

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