Abstract: A novel method that can automatically confirm the best neighborhood size of pixel matching was proposed to improve the narrow application range of traditional pixelbased texture synthesis. Firstly， texton was extracted using block truncation coding， and the best neighborhood size of pixel matching was confirmed by the texton. Then， the norm of pixel matching was improved in the matching stage. By comparing the mean values and variance of sample pixels and target pixels， neighborhood similarity and optimal pixel can be deternined. The results show that the proposed method can generate good synthesis and has a wide application range， and thus can be a universal texture synthesis technology.

Key words: texture synthesis, texton, block truncation coding, neighborhood matching, pixel neighborhood