Simulation of Chinese ink is an important research topic in the non-photorealistic rending simulation field. The results of current rendering algorithms are stiff and colorless because the algorithms lack coherent edges drawing and the color convergence is not smooth. This paper presents a method converting real images into Chinese ink paintings. Firstly

this method utilizes an improved flow-based difference of Gaussian filter to generate edge contours. Then the anisotropic Kuwahara filter is utilized to converge the ink and make a natural transition. Finally

Perlin noise is introduced to simulate the plicate rice paper. The experimental result shows that the algorithm can achieve ink images using real-image as input and its processing speed is fast. This paper presents a method converting real images into Chinese ink paintings. The experimental result shows that the algorithms can achieve better effect images without destroying the original mapping structure.