Based on the principle of block splice texture image synthesis, spiral searching path to search matching texture blocks for improving the texture image synthesis speed is studied. In addition, the matching quality is improved, by increasing the number of sample space texture matching blocks. A new texture synthesis algorithm is proposed through a study in sampling space, search methods and similarity of texture block. According to new texture generated by output image, synthesized output images are seen as part of the sample space to enhance the texture blocks probability of matching, by increasing the number of texture matching block in the sample space. The spiral searching manner is used to reduce the search time greatly and improve the synthetic speed. The gradient and color of texture block are taken as the similarity parameters between the two matching blocks, for identifying the similarity degree of two matching blocks. Compared with the traditional algorithms, the proposed algorithm can improve the synthetic speed and synthetic quality with the experimental verification.