A Novel Method for Pencil Drawing Generation in Non-Photo-Realistic Rendering

Zhenyu Chen, Jingye Zhou, Xingyu Gao, Longsheng Li, Junfa Liu

Abstract: This paper puts forward a novel method for automatically generating a pencil drawing from a real 2D color image in non-photo-realistic rendering. First, the edge of the color image is detected by Sobel operator. Next, the color image is sharpened by Unsharp Mask (USM), and then color scaling is used to get an image with radial and edge details. Furthermore, the original image is divided into many meaningful regions using an efficient method of image segmentation, then the texture direction is determined by Fourier transform and shape feature. To render better effects of illumination and local texture of pencil drawing, the line integral convolution (LIC) algorithm is applied and combined with color scaling and white noise image. Finally, the pencil drawing is created and the generation results from the superposition of the edge, the USM image, and the texture. Experimental results prove that our method could enhance the generated efficiency greatly by creating a more obvious edge, more natural tone, and more real texture than those offered by existed methods.