Environment-Sensitive cloning in images
We present an Environment-Sensitive image cloning technique which improves the previous gradient-based methods by taking into account the content of target scene. We create a reference image to represent the global feature of target image which could be further diffused into the cloned patch, and modify the diffusion process to ensure that the cloning result is seamless and natural. Specifically, we figure out an efficient solution based on Mean-Value Coordinates (MVC) to deal with the hybrid boundary, and construct a general model based on MVC to implement our image cloning, which is further applied to video cloning. Experimental results demonstrate the effectiveness of our Environment-Sensitive cloning.
environment-sensitive global feature mean-value coordinates (mvc)