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Research on Image Quality Enhancement Algorithm Using Hessian Matrix

Xi Chen1, Yanpeng Wu2,*, Chenxue Zhu2, Hongjun Liu3

1 China Mobile Group Henan Co., Ltd., Zhengzhou, 450000, Henan, China
2 Department of Information Science and Engineering, Hunan First Normal University, Changsha, 410205, Hunan, China
3 Department of Information Engineering, Shaoyang University, Shaoyang, 422000, Hunan, China

* Corresponding Author: Yanpeng Wu. Email: email

Journal of New Media 2022, 4(3), 117-123. https://doi.org/10.32604/jnm.2022.027060

Abstract

The Hessian matrix has a wide range of applications in image processing, such as edge detection, feature point detection, etc. This paper proposes an image enhancement algorithm based on the Hessian matrix. First, the Hessian matrix is obtained by convolving the derivative of the Gaussian function. Then use the Hessian matrix to enhance the linear structure in the image. Experimental results show that the method proposed in this paper has strong robustness and accuracy.

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APA Style
Chen, X., Wu, Y., Zhu, C., Liu, H. (2022). Research on image quality enhancement algorithm using hessian matrix. Journal of New Media, 4(3), 117-123. https://doi.org/10.32604/jnm.2022.027060
Vancouver Style
Chen X, Wu Y, Zhu C, Liu H. Research on image quality enhancement algorithm using hessian matrix. J New Media . 2022;4(3):117-123 https://doi.org/10.32604/jnm.2022.027060
IEEE Style
X. Chen, Y. Wu, C. Zhu, and H. Liu "Research on Image Quality Enhancement Algorithm Using Hessian Matrix," J. New Media , vol. 4, no. 3, pp. 117-123. 2022. https://doi.org/10.32604/jnm.2022.027060



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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