Improved Poisson Image Editing and its Implementation on GPU
This paper proposes an improved Poisson image editing algorithm. It can improve the quality of the resulting composite between different images significantly by three steps. At first, we extract object boundary based on global Poisson matting. Then, optimal boundary is computed by shortest-path algorithm between the object boundary and user specified boundary. Finally, seamless composite is achieved by solving the Poisson equation defined by the objective function and the optimal boundary. Moreover, to improve the performance of the algorithm, we implement it on GPU. Experimental results demonstrate the proposed method could generate seamless results even for images have complicated component. Also, it only needs a few interactions from user so that it is convenience to use. By mapping key steps to GPU, the performance of the method is improved considerably. With the increasing of image resolution, we can get more performance pro fit from our GPU-based implementation.
Poisson Image Editing Poisson Matting Object Boundary Optimal Boundary GPU
Hao Wu Dan Xu
Department of Computer Science and Engineering Yunnan University Kunming, Yunnan Province 650091, China
国际会议
温州
英文
1044-1048
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）