Abstract: With the traditional quality enhancement methods cannot control the best field density range resulting in too large threshold value of colour difference in art works. Therefore, a research on art works quality enhancement based on image processing technology is proposed. The CIE L* a* b* color space model is established to divide the color magnitude and then transform the color space by RGB space conversion model. On this basis, the quality of art works is enhanced according to the process of the quality enhancement of art works. As considering that the actual density is not within the control range, the image processing technology is used to separate targets to solve this problem. In the experiment, Adobe Illustrator CS6 software was used to make the experimental color target and six test samples were selected to test whether the distribution results of the two methods in different degree of color difference perception met the quality enhancement requirements. The experimental results show that the quality enhancement effect of the proposed method is better and more in line with the design requirements.

Xujing Zhao, Xiwen Chen and Jianfei Shen, “Art Image Color Sequence Data Processing Method Based on Artificial Intelligence Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 15(9), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150982

@article{Zhao2024,
title = {Art Image Color Sequence Data Processing Method Based on Artificial Intelligence Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150982},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150982},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {9},
author = {Xujing Zhao and Xiwen Chen and Jianfei Shen}
}