Poisson Image Editing
Poisson Image Editing
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DOI：
10.5201/ipol.2016.163
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发表时间：
2016-01-01
影响因子：
1
通讯作者：
Meinhardt-Llopis, Enric
中科院分区：
文献类型：
--
作者：
Di Martino, J. Matias;Facciolo, Gabriele;Meinhardt-Llopis, Enric
可以直接编辑图像的梯度以执行有用的操作;这被称为基于梯度的图像处理或泊松编辑。例如，可以通过组合/修改图像梯度以非常简单和有效的方式执行诸如无缝克隆、对比度增强、纹理平坦化或无缝平铺的操作。在目前的工作中，我们将描述的泊松图像编辑方法，并回顾了自2003年提出以来所做的贡献。此外，积分问题将讨论和分析，无论是从理论和数值的观点。将讨论两种不同的数值实现，第一种使用离散版本的微分算子将问题转换为稀疏线性方程组，而第二种基于傅立叶变换特性。
The gradient of images can be directly edited to perform useful operations; this is called gradient based image processing or Poisson editing. For example operations such as seamless cloning, contrast enhancement, texture flattening or seamless tiling can be performed in a very simple and efficient way by combining/modifying the image gradients. In the present work we will describe the Poisson image editing method, and review the contributions that have been made since it was proposed in 2003. In addition the integration problem will be discussed and analyzed, both from the theoretical and numerical points of view. Two different numerical implementations will be discussed, the first one uses discrete versions of differential operators to convert the problem into a sparse linear system of equations, while the second one is based on Fourier transform properties.