Summary
In this paper, an image cloning method called arbitrary cloning is presented, in which image matting and Poisson image editing techniques are applied. The object boundary is extracted through image matting technique while Poisson equation is solved to achieve natural result for seamless cloning. Compared with existing techniques, the proposed approach gains a great deal of advantages: On the one hand, great performance can be reached even in bad conditions. The method will not be affected even when there are many holes in the foreground image and there is complicated color variation in the foreground and background image. On the other hand, the algorithm is very flexible in application that the αmatte can be guided by the user input. The examples show that the proposed approach guarantees better output and diverse result.
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References
Perez, P., Gangnet, M., Blake. A.: Poisson image editing. Proceedings of ACM SIGGRAPH. New York, USA, ACM Press, (2003) 313-318
Anat Levin, Dani Lischinski, Yair Weiss.: A Closed Form Solution to Natural Image Matting. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA, IEEE Computer Society, (2006) Volume1, 61-68
Jiaya Jia, Jian Sun, Chi-Keung Tang, Heung-Yeung Shum.: Drag-and-drop pasting. Proceedings of ACM SIGGRAPH. New York, USA, ACM Press, (2006) 631-637
J. Wang, M. Cohen.: An iterative optimization approach for unified image segmentation and matting. Proc. IEEE Intl. Conf. on Computer Vision. Beijing, China, IEEE Computer Society, (2005) Volume2, 936-943
Sun, J., Jia, J., Tang, C., Shum, H.: Poisson matting. Proceedings of ACM SIGGRAPH. New York, USA, ACM Press, (2004) 315-321
Chuang, Y., Curless, B., Salesin, D., Szeliski, R.: A bayesian approach to digital matting. In: Proceedings of CVPR. New York, USA, ACM Press, (2001) vol. 2, 264-271
Ruzon, M., Tomasi, C.: alpha estimation in natural images. Proceedings of CVPR. New York, USA, ACM Press, (2000) 18-25
Berman, A., Vlahos, P., Dadourian, A.: Comprehensive method for removing from an image the background surrounding a selected object. U.S. Patent: 6,134,345, (2000)
Li, Y., Sun, J., Tang, C., Shum, H.: Lazy snapping. In: Proceedings of ACM SIGGRAPH. New York, USA, ACM Press, (2004) 303-308
Rother, C., Kolmogorov, V., Blake, A.: “grabcut” - interactive foreground extraction using iterated graph cuts. Proceedings of ACM SIGGRAPH. New York, USA, ACM Press, (2004) 309-314
Burt, P., Adelson, E.: A Multiresolution Spline with Application to Image Mosaics. ACM Transactions on Graphics. New York, USA, ACM Press, (1983) 2, 4, 217-236
J. Shi, J. Malik.: Normalized cuts and image segmentation. Proc. CVPR. San Juan, Puerto Rico, IEEE Computer Society, (1997) 731-737
Wu Diguang.: Calculus of Variations. Beijing: Higher Education Press. (1987) 65-80
Wang Wenxian, Zhang Fengxiang, Shi Guangyan.: Linear Algebra and Its Application. Dalian University of Technology Press, (1993) 40-59
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Fu, X., Guo, H., Wang, Y., Liu, T., Li, H. (2008). Arbitrary Image Cloning. In: Damiani, E., Yétongnon, K., Schelkens, P., Dipanda, A., Legrand, L., Chbeir, R. (eds) Signal Processing for Image Enhancement and Multimedia Processing. Multimedia Systems and Applications Series, vol 31. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-72500-0_25
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DOI: https://doi.org/10.1007/978-0-387-72500-0_25
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