Modified unsharp masking detection using Otsu thresholding and Gray code

Chun Lin Lin; Chung Yen Su

doi:10.1109/ICIT.2016.7474851

Modified unsharp masking detection using Otsu thresholding and Gray code

Chun Lin Lin, Chung Yen Su

Department of Electrical Engineering

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

2 Citations (Scopus)

Abstract

In order to improve image quality, unsharp masking (USM) is a great solution for image enhancement. To detect USM sharpening, we propose an improved method called edge perpendicular Gray coding (EPGC). With EPGC, the number of feature points generated from binary encoding can be reduced to half and thus the execution of calculating histogram can be accelerated. In addition, we use Otsu thresholding to enhance Canny edge detection. As a result, the accuracy of USM detection is increased. Experimental results show that EPGC performs better than previous methods.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	787-791
Number of pages	5
ISBN (Electronic)	9781467380751
DOIs	https://doi.org/10.1109/ICIT.2016.7474851
Publication status	Published - 2016 May 19
Event	IEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan Duration: 2016 Mar 14 → 2016 Mar 17

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2016-May

Other

Other	IEEE International Conference on Industrial Technology, ICIT 2016
Country/Territory	Taiwan
City	Taipei
Period	2016/03/14 → 2016/03/17

Keywords

Gray coding
Otsu method
unsharp masking sharpening

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/ICIT.2016.7474851

Cite this

Lin, C. L., & Su, C. Y. (2016). Modified unsharp masking detection using Otsu thresholding and Gray code. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 (pp. 787-791). Article 7474851 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2016.7474851

Modified unsharp masking detection using Otsu thresholding and Gray code. / Lin, Chun Lin; Su, Chung Yen.
Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 787-791 7474851 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May).

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

Lin, CL & Su, CY 2016, Modified unsharp masking detection using Otsu thresholding and Gray code. in Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016., 7474851, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2016-May, Institute of Electrical and Electronics Engineers Inc., pp. 787-791, IEEE International Conference on Industrial Technology, ICIT 2016, Taipei, Taiwan, 2016/03/14. https://doi.org/10.1109/ICIT.2016.7474851

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title = "Modified unsharp masking detection using Otsu thresholding and Gray code",

abstract = "In order to improve image quality, unsharp masking (USM) is a great solution for image enhancement. To detect USM sharpening, we propose an improved method called edge perpendicular Gray coding (EPGC). With EPGC, the number of feature points generated from binary encoding can be reduced to half and thus the execution of calculating histogram can be accelerated. In addition, we use Otsu thresholding to enhance Canny edge detection. As a result, the accuracy of USM detection is increased. Experimental results show that EPGC performs better than previous methods.",

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AB - In order to improve image quality, unsharp masking (USM) is a great solution for image enhancement. To detect USM sharpening, we propose an improved method called edge perpendicular Gray coding (EPGC). With EPGC, the number of feature points generated from binary encoding can be reduced to half and thus the execution of calculating histogram can be accelerated. In addition, we use Otsu thresholding to enhance Canny edge detection. As a result, the accuracy of USM detection is increased. Experimental results show that EPGC performs better than previous methods.

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ER -

Modified unsharp masking detection using Otsu thresholding and Gray code

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Keywords

ASJC Scopus subject areas

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