Seamless Image Processing Based on Gradient Field Total Variation Model
基于梯度场整体变分模型的无缝图像处理方法

This paper presents a novel framework for seamless image processing in the gradient domain. A gradient field of image region to be processed is introduced into general total variation(TV) model, which gives an extended version of TV model called gradient field total variation (GFTV)model. Seamless processing is performed by minimizing the model function. Through our framework based on GFTV model, a variety of applications for seamless image processing are introduced, mainly including seamless importation of source image regions into destination image, modifying the appearance, e.g. texture, illumination of the image seamlessly within a selected region, and image seamless stitching.