摘要
图像修补的目的是对指定的区域进行修补,填补该区域的信息,并且要求最终图像的原有区域与填补区域间的过渡自然,尽量减少人工痕迹。Criminisi曾提出一种基于样本块的图像修补方法,这种方法不仅适用于对数字图像中的大面积破损区域进行修补,而且可以用于移除图像中不想要的目标物。对Criminisi的方法进行改进,在计算优先权时增加多个已知像素的梯度信息,并且用加法代替乘法防止了快速衰减,对于一些比较特殊的图像,通过改变修补顺序提高修补效果。大量实验结果表明,与Crimini-si的方法相比,该方法能够取得更好的视觉效果。
Image inpainting technique aims at repairing the specified area to fill the information in the region,and has the requirement of natural transition between original region and filled region on final image and to minimize the artificial traces as much as possible.An exemplar block-based image inpainting algorithm was proposed by Ciminisi.This algorithm is suitable for repairing large damaged areas in digital image and can remove unwanted target object from the image.In this paper,an improved method based on Criminisi＇s algorithm is proposed.This method takes more known pixels gradient information into account when calculating the priority,and uses addition instead of multiplication to prevent rapid decay,and for some special image,changing the inpainting order is adopted to get better results.Lots of experiment results show that compared with Criminisi＇s algorithm,the proposed algorithm can achieve better visual results.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第2期258-260,268,共4页
Computer Applications and Software
关键词
图像修复
目标移除
优先权
梯度
Image Inpainting Object removing Priority Gradient
