摘要
图像修复是图像恢复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,可以用于对旧图片的修复。大多数现有图像修复算法都非常复杂,而且难于实现。由于图像中的边缘代表了图像的重要信息,所以在设计修复算法时,必须着重考虑边缘的恢复。提出了一种基于图像邻域滤波算法、利用图像的空间连续性,及图像的边缘信息的图像修复算法。该算法实现简单,修复速度快,对小区域的修复效果较好。
Inpainting is an important research topic in the area of image processing, its objective is to restore the lost information according to around image information, which can be used to restore old photo. Although the inpainting basics are straightforward, most inpainting techniques published in the literature are complex to understand and implement. Because edge information of image is very important , it is prior to take edge information restoring into account while designing image inpainting algorithm. Propose here a new algorithm for image inpainting based on spatial continuity and image denoising. The algorithm can restore small - scale regions and is very simple to implement, fast, producing comparable results.
出处
《计算机技术与发展》
2007年第10期34-36,共3页
Computer Technology and Development
基金
安徽省高校自然科学研究项目(2006KJ028B
KJ2007B366ZC)
关键词
图像修复
空间连续性
图像滤波
image inpainting
spatial continuity
image denoising
