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Proceedings Paper

Color image enhancement algorithm based on edge extraction
Author(s): Chong Zhang; Binghua Su; Jialin Tang; Hao Yang; Qinglang Su; Zhuang Zhou
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Paper Abstract

To solve the problem of blurred edges in some color images, a color image enhancement algorithm based on edge extraction is proposed. This algorithm is carried out in YUV space. The improved Laplace operator is used to extract image edge, which improves the clarity of edge while preserving image color. In addition, this algorithm can also improve the edge clarity of blurred and noisy images.

Paper Details

Date Published: 12 March 2020
PDF: 11 pages
Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380W (12 March 2020); doi: 10.1117/12.2550123
Show Author Affiliations
Chong Zhang, Beijing Institute of Technology (China)
Binghua Su, Beijing Institute of Technology (China)
Jialin Tang, Beijing Institute Of Technology Zhuhai (China)
Hao Yang, Beijing Institute of Technology (China)
Qinglang Su, City Univ. of Macau (Macao, China)
Zhuang Zhou, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 11438:
2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten, Editor(s)

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