Sparse representation to solve the problem of image super-resolution

Valentín Álvarez-Ramos; Volodymyr Ponomaryov

doi:10.1109/CONIELECOMP.2016.7438568

Sparse representation to solve the problem of image super-resolution

Valentín Álvarez-Ramos, Volodymyr Ponomaryov

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Image Super-Resolution has been an active field of image processing. In this paper, we propose a super-resolution method for grayscale images. The designed framework includes the following stages: First initial interpolation, block extraction and sparse representation for each block. The evaluation of novel method is performed using PSNR, MAE and SSIM as evaluation objective criteria.

Original language	English
Title of host publication	2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	156-161
Number of pages	6
ISBN (Electronic)	9781509000791
DOIs	https://doi.org/10.1109/CONIELECOMP.2016.7438568
State	Published - 21 Mar 2016
Event	26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016 - Cholula, Mexico Duration: 24 Feb 2016 → 26 Feb 2016

Publication series

Name	2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016

Conference

Conference	26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
Country/Territory	Mexico
City	Cholula
Period	24/02/16 → 26/02/16

Keywords

Feature Extraction
MAE
PSNR
SSIM
Sparse Representation
Super-Resolution

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10.1109/CONIELECOMP.2016.7438568

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Álvarez-Ramos, V., & Ponomaryov, V. (2016). Sparse representation to solve the problem of image super-resolution. In 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016 (pp. 156-161). Article 7438568 (2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONIELECOMP.2016.7438568

Álvarez-Ramos, Valentín ; Ponomaryov, Volodymyr. / Sparse representation to solve the problem of image super-resolution. 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 156-161 (2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016).

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abstract = "Image Super-Resolution has been an active field of image processing. In this paper, we propose a super-resolution method for grayscale images. The designed framework includes the following stages: First initial interpolation, block extraction and sparse representation for each block. The evaluation of novel method is performed using PSNR, MAE and SSIM as evaluation objective criteria.",

keywords = "Feature Extraction, MAE, PSNR, SSIM, Sparse Representation, Super-Resolution",

author = "Valent{\'i}n {\'A}lvarez-Ramos and Volodymyr Ponomaryov",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016 ; Conference date: 24-02-2016 Through 26-02-2016",

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Álvarez-Ramos, V & Ponomaryov, V 2016, Sparse representation to solve the problem of image super-resolution. in 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016., 7438568, 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016, Institute of Electrical and Electronics Engineers Inc., pp. 156-161, 26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016, Cholula, Mexico, 24/02/16. https://doi.org/10.1109/CONIELECOMP.2016.7438568

Sparse representation to solve the problem of image super-resolution. / Álvarez-Ramos, Valentín; Ponomaryov, Volodymyr.
2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 156-161 7438568 (2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Álvarez-Ramos, Valentín

AU - Ponomaryov, Volodymyr

PY - 2016/3/21

Y1 - 2016/3/21

N2 - Image Super-Resolution has been an active field of image processing. In this paper, we propose a super-resolution method for grayscale images. The designed framework includes the following stages: First initial interpolation, block extraction and sparse representation for each block. The evaluation of novel method is performed using PSNR, MAE and SSIM as evaluation objective criteria.

AB - Image Super-Resolution has been an active field of image processing. In this paper, we propose a super-resolution method for grayscale images. The designed framework includes the following stages: First initial interpolation, block extraction and sparse representation for each block. The evaluation of novel method is performed using PSNR, MAE and SSIM as evaluation objective criteria.

KW - Feature Extraction

KW - MAE

KW - PSNR

KW - SSIM

KW - Sparse Representation

KW - Super-Resolution

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DO - 10.1109/CONIELECOMP.2016.7438568

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T3 - 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016

SP - 156

EP - 161

BT - 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016

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ER -

Álvarez-Ramos V, Ponomaryov V. Sparse representation to solve the problem of image super-resolution. In 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 156-161. 7438568. (2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016). doi: 10.1109/CONIELECOMP.2016.7438568

Sparse representation to solve the problem of image super-resolution

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Keywords

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