Image denoising using block matching and discrete cosine transform with edge restoring

Alfredo E.Palacios Enríquez; Volodymyr Ponomaryov

doi:10.1109/CONIELECOMP.2016.7438566

Image denoising using block matching and discrete cosine transform with edge restoring

Alfredo E.Palacios Enríquez, Volodymyr Ponomaryov

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

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

9 Scopus citations

Abstract

Filtering of images contaminated by Gaussian additive noise has been an active field of image processing. In this paper, we propose a denoising method used in grayscale images. The designed method involves the next steps: Grouping via Block Matching, Filtering via DCT, Threshold, Segmentation, and, finally, postprocessing with Edge Restoration. The evaluation of novel method is performed using objective criteria (PSNR and SSIM) and subjective perception via human vision system.

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	140-147
Number of pages	8
ISBN (Electronic)	9781509000791
DOIs	https://doi.org/10.1109/CONIELECOMP.2016.7438566
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

Block-Matching
Denoising image
Discrete Cosine Transform
Edge Detection

Access to Document

10.1109/CONIELECOMP.2016.7438566

Cite this

Enríquez, A. E. P., & Ponomaryov, V. (2016). Image denoising using block matching and discrete cosine transform with edge restoring. In 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016 (pp. 140-147). Article 7438566 (2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONIELECOMP.2016.7438566

Enríquez, Alfredo E.Palacios ; Ponomaryov, Volodymyr. / Image denoising using block matching and discrete cosine transform with edge restoring. 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 140-147 (2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016).

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Enríquez, AEP & Ponomaryov, V 2016, Image denoising using block matching and discrete cosine transform with edge restoring. in 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016., 7438566, 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016, Institute of Electrical and Electronics Engineers Inc., pp. 140-147, 26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016, Cholula, Mexico, 24/02/16. https://doi.org/10.1109/CONIELECOMP.2016.7438566

Image denoising using block matching and discrete cosine transform with edge restoring. / Enríquez, Alfredo E.Palacios; Ponomaryov, Volodymyr.
2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 140-147 7438566 (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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N2 - Filtering of images contaminated by Gaussian additive noise has been an active field of image processing. In this paper, we propose a denoising method used in grayscale images. The designed method involves the next steps: Grouping via Block Matching, Filtering via DCT, Threshold, Segmentation, and, finally, postprocessing with Edge Restoration. The evaluation of novel method is performed using objective criteria (PSNR and SSIM) and subjective perception via human vision system.

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

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Enríquez AEP, Ponomaryov V. Image denoising using block matching and discrete cosine transform with edge restoring. In 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 140-147. 7438566. (2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016). doi: 10.1109/CONIELECOMP.2016.7438566

Image denoising using block matching and discrete cosine transform with edge restoring

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Keywords

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