Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

June 6, 2023


Pages

265-272


DOI

Article

Optimization of Color Matching Technology in Cultural Industry by Fractional Differential Equations

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Authors

Shaopeng Wu Affiliation:
School of Art and Design, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China


Abstract

This article combines the fractional differential theory with the total variation method and applies it to defining cultural industry image color matching. At the same time, we propose a new image color matching denoising model based on fractional partial differential equations. The model achieves simultaneous denoising in the time direction and the spaceplane. Experiments have proved that the fractional partial differential equations method has more advantages than integer-order partial differential equations in denoising and reducing step effects. It can effectively improve the contrast and clarity of image color matching in the cultural industry.


Keywords

Cultural industry, Color matching, Partial differential equations, Optical depth, 35A24


Citation

Wu, S. (2022). Optimization of color matching technology in cultural industry by fractional differential equations. Applied Mathematics and Nonlinear Sciences, 7(2), 265–272. https://doi.org/10.2478/amns.2022.2.00008
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13 References
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Published by: Engineering Journals

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