Image Based Simulation for Pyrography Style Painting

Abstract

A technique for pyrography characteristic Simulation based on digital image is proposed. Firstly, a fast color characteristics transfer method based on local vector matching is used according to the similar feature of local region of image. Then, the color space is converted from RGB to Ruderman et al.’s perception-based color space lαβ, according to a certain standard, feature vector is obtained from the mean values and standard deviation of local region of source image, and also, a sample matching is performed between the target and the source image according the local vector characteristics. Therefore, the Welsh’s point-to-point matching algorithm is avoided. On the basis of color transfer, the result image is integrated with the texture image, through adjusting the Alpha information; the china traditional folk pyrography painting effect is obtained. The experimental results show that the color transfer algorithm has the some advantages, such as high precision, strong universality and faster computation speed; and the final pyrography effects are satisfying.