Image copy-and-paste with optimized gradient
Yun Zhang, Jian Ling, Xiaohong Zhang, Hao Xie
In The Visual Computer, 30(10), October 2014.
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.
@article{Zhang:2014:ICW,
author = {Yun Zhang and Jian Ling and Xiaohong Zhang and Hao Xie},
title = {Image copy-and-paste with optimized gradient},
journal = {The Visual Computer},
volume = {30},
number = {10},
pages = {1169--1178},
month = oct,
year = {2014},
}
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