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Image resolution
Known as:
Hi res
, Effective pixels
, Image size
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Image resolution is the detail an image holds. The term applies to raster digital images, film images, and other types of images. Higher resolution…
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Related topics
Related topics
50 relations
2D computer graphics
4K resolution
Acutance
Advanced Spaceborne Thermal Emission and Reflection Radiometer
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Broader (1)
Image processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
,
Ming-Yu Liu
,
Jun-Yan Zhu
,
Andrew Tao
,
J. Kautz
,
Bryan Catanzaro
IEEE/CVF Conference on Computer Vision and…
2018
Corpus ID: 41805341
We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional…
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Highly Cited
2017
Highly Cited
2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
,
Lucas Theis
,
+6 authors
Wenzhe Shi
IEEE Conference on Computer Vision and Pattern…
2017
Corpus ID: 211227
Despite the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural…
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Highly Cited
2017
Highly Cited
2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
,
Sanghyun Son
,
Heewon Kim
,
Seungjun Nah
,
Kyoung Mu Lee
IEEE Conference on Computer Vision and Pattern…
2017
Corpus ID: 6540453
Recent research on super-resolution has progressed with the development of deep convolutional neural networks (DCNN). In…
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Highly Cited
2017
Highly Cited
2017
Image Super-Resolution via Deep Recursive Residual Network
Ying Tai
,
Jian Yang
,
Xiaoming Liu
IEEE Conference on Computer Vision and Pattern…
2017
Corpus ID: 21618854
Recently, Convolutional Neural Network (CNN) based models have achieved great success in Single Image Super-Resolution (SISR…
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Highly Cited
2014
Highly Cited
2014
Learning a Deep Convolutional Network for Image Super-Resolution
Chao Dong
,
Chen Change Loy
,
Kaiming He
,
Xiaoou Tang
ECCV
2014
Corpus ID: 18874645
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping…
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Highly Cited
2009
Highly Cited
2009
Super-resolution from a single image
Daniel Glasner
,
S. Bagon
,
M. Irani
IEEE 12th International Conference on Computer…
2009
Corpus ID: 6024639
Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super…
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Highly Cited
2008
Highly Cited
2008
Image super-resolution as sparse representation of raw image patches
Jianchao Yang
,
John Wright
,
Thomas S. Huang
,
Yi Ma
IEEE Conference on Computer Vision and Pattern…
2008
Corpus ID: 10349990
This paper addresses the problem of generating a super-resolution (SR) image from a single low-resolution input image. We…
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Highly Cited
2007
Highly Cited
2007
Spatial-Depth Super Resolution for Range Images
Qingxiong Yang
,
Ruigang Yang
,
James Davis
,
D. Nistér
IEEE Conference on Computer Vision and Pattern…
2007
Corpus ID: 6788025
We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high…
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Review
2003
Review
2003
Super-resolution image reconstruction: a technical overview
S. Park
,
Min Kyu Park
,
M. Kang
IEEE Signal Process. Mag.
2003
Corpus ID: 12320918
A new approach toward increasing spatial resolution is required to overcome the limitations of the sensors and optics…
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Highly Cited
1993
Highly Cited
1993
Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency
M. Irani
,
Shmuel Peleg
J. Vis. Commun. Image Represent.
1993
Corpus ID: 14779501
Abstract Accurate computation of image motion enables the enhancement of image sequences. In scenes having multiple moving…
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