abstract

Robust image/video super-resolution display

Authors:

Rui Chen,

Huizhu Jia,

Xiaodong Xie,

Wen GaoAuthors Info & Claims

VRST '15: Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology

Page 201

https://doi.org/10.1145/2821592.2821629

Published: 13 November 2015 Publication History

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Abstract

This paper describes a new method to reconstruct high-resolution video sequences from several observed low-resolution images based on an adaptive Mumford-shah model which is extended by using nonlocal information and low-rank representation. In our regularization framework, joint image restoration and motion estimation are first implemented and then detailed information can be recovered by incorporating new model as a prior term.

Reference

[1]

Shen, C. T., Liu, H. H., Yang M. H. and Hung Y. P. 2015. Viewing-distance aware super-resolution for high-definition display. IEEE Trans. Image Process., 24, 403--418.

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Chen RZhang Y(2022)Learning Dynamic Generative Attention for Single Image Super-ResolutionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2022.319209932:12(8368-8382)Online publication date: Dec-2022
https://doi.org/10.1109/TCSVT.2022.3192099
Zhao FChen RLi YDai WHao XT RJaafar F(2020)Single image super-resolution using deep hierarchical attention networkProceedings of the 5th International Conference on Multimedia and Image Processing10.1145/3381271.3381282(80-85)Online publication date: 10-Jan-2020
https://dl.acm.org/doi/10.1145/3381271.3381282
Chen RZhao FYang CLi YHuang T(2019)Robust estimation for image noise based on eigenvalue distributions of large sample covariance matricesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2019.102604(102604)Online publication date: Aug-2019
https://doi.org/10.1016/j.jvcir.2019.102604
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Index Terms

Robust image/video super-resolution display
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
    2. Rendering
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality
      2. Virtual reality

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Information

Published In

VRST '15: Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology

November 2015

237 pages

ISBN:9781450339902

DOI:10.1145/2821592

Conference Chairs:
Qinping Zhao
Beihang Univerisity
,
Daniel Thalmann
Nanyang Technological University
,
Editor:
Stephen N. Spencer
University of Washington
,
Program Chairs:
Enhua Wu
University of Macau & Institute of Software, Chinese Academy of Sciences
,
Ming C. Lin
University of North Carolina at Chapel Hill
,
Lili Wang
Beihang University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2015

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VRST '15

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VRST '15: 21th ACM Symposium on Virtual Reality Software and Technology

November 13 - 15, 2015

Beijing, China

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Overall Acceptance Rate 66 of 254 submissions, 26%

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Chen RZhang Y(2022)Learning Dynamic Generative Attention for Single Image Super-ResolutionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2022.319209932:12(8368-8382)Online publication date: Dec-2022
https://doi.org/10.1109/TCSVT.2022.3192099
Zhao FChen RLi YDai WHao XT RJaafar F(2020)Single image super-resolution using deep hierarchical attention networkProceedings of the 5th International Conference on Multimedia and Image Processing10.1145/3381271.3381282(80-85)Online publication date: 10-Jan-2020
https://dl.acm.org/doi/10.1145/3381271.3381282
Chen RZhao FYang CLi YHuang T(2019)Robust estimation for image noise based on eigenvalue distributions of large sample covariance matricesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2019.102604(102604)Online publication date: Aug-2019
https://doi.org/10.1016/j.jvcir.2019.102604
Chen XWang GGuo H(2016)Accurate fingertip detection from binocular mask images2016 Visual Communications and Image Processing (VCIP)10.1109/VCIP.2016.7805569(1-4)Online publication date: Nov-2016
https://doi.org/10.1109/VCIP.2016.7805569
Chen RJia HXie XWen G(2016)A structure-preserving image restoration method with high-level ensemble constraints2016 Visual Communications and Image Processing (VCIP)10.1109/VCIP.2016.7805510(1-4)Online publication date: Nov-2016
https://doi.org/10.1109/VCIP.2016.7805510

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Robust web image/video super-resolution

Image super-resolution via sparse representation

Noise robust single image super-resolution using a multiscale image pyramid

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