Aiming at the problems of large sparse decomposition error of pixel signal, low reconstruction accuracy and slow reconstruction speed in traditional Chinese painting image reconstruction, a method of traditional Chinese painting image reconstruction based on depth learning is proposed. The image signal of traditional Chinese painting works is decomposed sparsely by the dictionary. The traditional Chinese painting image is weighted according to the Gaussian filter, the impurities in the signal are removed by the bilateral filter method, and the edge of the traditional Chinese painting image is ...
