[Retracted] Application of Intelligent Image Color Technology in Teaching Chinese Painting Color

Table 1

.Summary of the contributions of previous researchers and the main results of this study.

Years	Person's name	Main contribution	The main contribution of this research
1964	Isozaki et al.	Pointed out the importance of “disciplinary representational concepts” in the design of curriculum	The feature matrix in the network is generated by feature recombination and matching, and finally the decoder is used to generate the migration image, which realizes the automatic classification of different color areas in Chinese paintings, and finally can make judgments on the most likely pigments for each type of color.
1969	Delgado	Used near-infrared spectroscopy to successfully detect the invisible deep information on frescoes
2017	Liu	Argued that “the understanding and application of the big idea reflects the essential requirements of core literacy
2018	Sumi et al.	Proposed the concept of “concept-based curriculum and instruction”