<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper mainly studies a high-precision correction method for warp knitting seamless images. The color factor conversion method is used to transform the gray level of the center point in the frequency domain. Then this paper proposes an image-denoising method based on an average way to improve image quality. The multichannel scalar channel is solved using the gradient domain method, and the fractional differential equations of two images are given. A structure tensor matrix is constructed to describe the geometric properties of images. The regional contrast of the image is calculated by using the characteristics of adjacent layers of pixels. The fusion of multiple images is based on the limitations of object functionality. This can make the texture structure of artistic color pictures more obvious. The experiment of color restoration shows that this method has a good interpretation effect. The color image processing technique has obtained an excellent restoration effect.</p>
</abstract>

This paper mainly studies a high-precision correction method for warp knitting seamless images. The color factor conversion method is used to transform the gray level of the center point in the frequency domain. Then this paper proposes an image-denoising method based on an average way to improve image quality. The multichannel scalar channel is solved using the gradient domain method, and the fractional differential equations of two images are given. A structure tensor matrix is constructed to describe the geometric properties of images. The regional contrast of the image is calculated by using the characteristics of adjacent layers of pixels. The fusion of multiple images is based on the limitations of object functionality. This can make the texture structure of artistic color pictures more obvious. The experiment of color restoration shows that this method has a good interpretation effect. The color image processing technique has obtained an excellent restoration effect.

Color Processing System of Art Color Based on Fractional Differential Equation

School of Art, Cangzhou Normal University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Color Processing System of Art Color Based on Fractional Differential Equation"}

This paper mainly studies a high-precision correction method for warp knitting seamless images. The color factor conversion method is used to transform the...

Color Processing System of Art Color Based on Fractional Differential Equation

Online veröffentlicht: 19. Juni 2023

Seitenbereich: 2423 - 2432

Eingereicht: 05. Sept. 2022

Akzeptiert: 21. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00423

Schlüsselwörter
Color repair, Fractional differential equation, Image processing technology, Bridging edge repair, Color extraction, Fix code Settings

© 2023 Hongyu Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Color Processing System of Art Color Based on Fractional Differential Equation

Online veröffentlicht: 19. Juni 2023

Seitenbereich: 2423 - 2432

Eingereicht: 05. Sept. 2022

Akzeptiert: 21. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00423

SchlüsselwörterColor repair, Fractional differential equation, Image processing technology, Bridging edge repair, Color extraction, Fix code Settings

© 2023 Hongyu Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Color repair, Fractional differential equation, Image processing technology, Bridging edge repair, Color extraction, Fix code Settings