Digital Art Creation and Optimization of Intangible Cultural Heritage Based on Image Processing Algorithm

As a new art form, digital art provides new ideas and ways for the inheritance and growth of (ICH) culture with its diversified expressions and efficient communication efficiency. In this study, wavelet neural network (WNN) algorithm will be used for image processing. Through feature detection, noise reduction and enhancement of ICH images, clearer and more vivid digital works of art will be obtained. By combining computer aided design (CAD) with traditional handicrafts, it is expected to provide new creative for ICH digital art creation. To verify the rationality and superiority of the image processing algorithm adopted in this article in ICH digital art creation, a computer simulation experiment was conducted. Using WNN s image classification algorithm, the classification accuracy of ICH images of folk dance, traditional handicrafts and folk activities all exceeds 90\%, which proves that the algorithm has excellent classification ability and generalization performance, and can be effectively applied to ICH image classification and recognition tasks.