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Image copy-and-paste with optimized gradient

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Abstract

This paper presents a novel approach to image copy-and-paste with optimized gradient. We improve the traditional gradient domain cloning by creating smooth transition from source patches to target images. We first specify a source patch and select its foreground region by strokes. Next, we create a gradient transition map in the cloning area. Finally, we reconstruct the gradient of the source patch according to the gradient transition map, and propose an interpolation based method to efficiently calculate the composition results, which avoids solving a large linear system. Experimental results demonstrate the effectiveness of our method, which can produce more natural and satisfying results.

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Acknowledgments

We thank all anonymous reviewers for their valuable comments. This work was supported by National Basic Research Program of China (No. 2011CB302205), National High-Tech Research and Development Program of China (No. 2013AA013903), Zhejiang Provincial Natural Science Foundation of China (No. LY13F020036) and (No. LY12F02032).

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Authors and Affiliations

  1. Zhejiang University of Media and Communications, Hangzhou, 310018, China

    Yun Zhang, Jian Ling & Xiaohong Zhang

  2. The State Key Lab of CAD&CG, Institute of Artificial Intelligence, Zhejiang University, Hangzhou, 310027, China

    Hao Xie

Authors
  1. Yun Zhang
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  2. Jian Ling
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  3. Xiaohong Zhang
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  4. Hao Xie
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Correspondence to Yun Zhang.

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Zhang, Y., Ling, J., Zhang, X. et al. Image copy-and-paste with optimized gradient. Vis Comput 30, 1169–1178 (2014). https://doi.org/10.1007/s00371-013-0897-y

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