Paper
12 March 2020 Color image enhancement algorithm based on edge extraction
Chong Zhang, Binghua Su, Jialin Tang, Hao Yang, Qinglang Su, Zhuang Zhou
Author Affiliations +
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.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chong Zhang, Binghua Su, Jialin Tang, Hao Yang, Qinglang Su, and Zhuang Zhou "Color image enhancement algorithm based on edge extraction", Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380W (12 March 2020); https://doi.org/10.1117/12.2550123
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KEYWORDS
Image enhancement

Edge detection

RGB color model

Digital imaging

Image processing

Image quality

Eye

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