Fast Patch-Based Image Hybrids Synthesis

To synthesize a variety of texture images from examples in common PCs is an important topic in computer graphics. This paper proposed a novel patch-based image hybrids synthesis method, which can generate plausible results with visual diversity. First, image analysis was performed to build an effective data structure for synthesizing samples in a fast way which can maintain the texture structure. In the image analysis phase, the candidate patch set was built for each position. Then, various hybrid images were generated using patch-based texture synthesis method. Poisson editing algorithm and deblurring techniques were further adopted to optimize the results. Various experiments showed that this new method can hybrid sample images with large color difference, which can also overcome the less smooth boundary problem of the conventional synthesis methods.