摘要
图像修复是图像复原研究中的一个重要内容,它的目的是根据图像现有的信息来自动恢复丢失的信息,其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。为了使人们对该技术有个概略了解,在对目前有关数字图像修复技术的文献进行理解和综合的基础上,首先通过对数字图像修复问题的描述,揭示了数字图像修复的数学背景;接着分别介绍了以下两类图像修复技术:一类是基于几何图像模型的图像修补(inpainting)技术,该技术特别适用于修补图像中的小尺度缺损;另一类是基于纹理合成的图像补全(comp letion)技术,该技术对于填充图像中大的丢失块有较好的效果;然后给出了这两类方法的应用实例;最后基于对数字图像修复问题的理解,提出了对数字图像修复技术的一些展望。
Image inpainting is an important research topic in the area of image restoration. Its objective is to restore the lost information according to around image information, which can he used to restore old photo, remove text and conceal errors in videos. Based on many literatures of digital image inpainting, this paper attempts to make an overview of digital image inpainting. First, it describes image inpainting from mathematics background. Then two kinds of important image inpainting schemes are introduced in this paper： one is image inpainting based on the geometric image models; the other is image completion based on texture synthesis. The former is suitable to inpaint the small scale scratches in images and the latter is very good at completing the large objects. Then this paper demonstrates the applications of the two kinds of methods. At the end, the future trend of digital image inpainting is pointed out in personal opinion.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第1期1-10,共10页
Journal of Image and Graphics
关键词
图像复原
图像修补
图像补全
变分方法
偏微分方程
全变分
纹理合成
image restoration, image inpainting, image completion, variational method, partial differential equation （PDE）, total variation, texture synthesis
