Image denoising using hybrid model with edge preserving capability

Bo Chen; Jianhuang Lai; Pong Chi YUEN

doi:10.1109/ICCIAS.2006.295368

Image denoising using hybrid model with edge preserving capability

Bo Chen^*, Jianhuang Lai, Pong Chi YUEN

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

The use of partial differential equations in image processing and computer vision has increased dramatically in recent years. The paper address to image denoising. A new model is introduced by extending αβω (ABO)-model in order to get high fidelity of the denoised images. To solve the model efficiently and reliably, we suggest a simple and symmetrical difference schemes and incorporate them with the essentially nondissipative difference (ENoD) schemes. We remove the impulse and Gaussian noises from different images and compare the PSNR values of the results with traditional filters. Numerical experimental results have shown the new model's effectiveness in restoring images, especially in edge preservation and enhancement.

Original language	English
Title of host publication	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Publisher	IEEE Computer Society
Pages	1779-1784
Number of pages	6
ISBN (Print)	1424406056, 9781424406050
DOIs	https://doi.org/10.1109/ICCIAS.2006.295368
Publication status	Published - 2006
Event	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, China Duration: 3 Oct 2006 → 6 Oct 2006

Publication series

Name	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Volume	2

Conference

Conference	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Country/Territory	China
City	Guangzhou
Period	3/10/06 → 6/10/06

Scopus Subject Areas

Computer Science(all)
Control and Systems Engineering

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10.1109/ICCIAS.2006.295368

Cite this

Chen, B., Lai, J., & YUEN, P. C. (2006). Image denoising using hybrid model with edge preserving capability. In 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 (pp. 1779-1784). Article 4076274 (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICCIAS.2006.295368

@inproceedings{64fc96be319a4224a3d3ba323825aee8,

title = "Image denoising using hybrid model with edge preserving capability",

abstract = "The use of partial differential equations in image processing and computer vision has increased dramatically in recent years. The paper address to image denoising. A new model is introduced by extending αβω (ABO)-model in order to get high fidelity of the denoised images. To solve the model efficiently and reliably, we suggest a simple and symmetrical difference schemes and incorporate them with the essentially nondissipative difference (ENoD) schemes. We remove the impulse and Gaussian noises from different images and compare the PSNR values of the results with traditional filters. Numerical experimental results have shown the new model's effectiveness in restoring images, especially in edge preservation and enhancement.",

author = "Bo Chen and Jianhuang Lai and YUEN, {Pong Chi}",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 ; Conference date: 03-10-2006 Through 06-10-2006",

year = "2006",

doi = "10.1109/ICCIAS.2006.295368",

language = "English",

isbn = "1424406056",

series = "2006 International Conference on Computational Intelligence and Security, ICCIAS 2006",

publisher = "IEEE Computer Society",

pages = "1779--1784",

booktitle = "2006 International Conference on Computational Intelligence and Security, ICCIAS 2006",

address = "United States",

}

Chen, B, Lai, J & YUEN, PC 2006, Image denoising using hybrid model with edge preserving capability. in 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006., 4076274, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, vol. 2, IEEE Computer Society, pp. 1779-1784, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, Guangzhou, China, 3/10/06. https://doi.org/10.1109/ICCIAS.2006.295368

Image denoising using hybrid model with edge preserving capability. / Chen, Bo; Lai, Jianhuang; YUEN, Pong Chi.
2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. IEEE Computer Society, 2006. p. 1779-1784 4076274 (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; Vol. 2).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AB - The use of partial differential equations in image processing and computer vision has increased dramatically in recent years. The paper address to image denoising. A new model is introduced by extending αβω (ABO)-model in order to get high fidelity of the denoised images. To solve the model efficiently and reliably, we suggest a simple and symmetrical difference schemes and incorporate them with the essentially nondissipative difference (ENoD) schemes. We remove the impulse and Gaussian noises from different images and compare the PSNR values of the results with traditional filters. Numerical experimental results have shown the new model's effectiveness in restoring images, especially in edge preservation and enhancement.

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Image denoising using hybrid model with edge preserving capability

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