摘要
图像的修复是图像处理中一个重要的部分,主要是利用一定的方法针对产生划痕和有缺损的图像进行修复,或者从图像中去除指定的物体和文字,以达到特定的目的。该文比较了CDD图像修复模型和快速图像修复模型的性能。它们都满足"连接整体性准则",对于具有较大破损区域及细小边缘的图像具有良好的修复能力。但是前者修复速度较慢,而后者可以克服CDD修复速度较慢的缺点。实验结果表明,该模型在保证与CDD模型相近修复质量的情况下可以大幅度地提高修复速度。
Image inpainting is an important part of image processing. It is mainly used to restore the damaged image with some algorithms to attain to special goals, through the restoration of damaged painting with cracks and scratches to the removal or replacement of objects or word. This paper puts emphasis on comparing CDD model with fast inpainting model based on the Curvature Driven Diffusions（CDD）. They all realize the connectivity and holistic principle, and have good ability for inpainting the large domain and minute edges, but the former inpainting speed is quite slow, the latter can overcome the shortcoming of slow speed. Experiment demonstrates this fast inpainting model can greatly advance the speed in inpainting, provided with the same quality of QCDD model.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第6期234-236,共3页
Computer Engineering
关键词
图像修复
偏微分方程
TV模型
CDD模型
连接整体性准则
image inpainting
Partial Differential Equation（PDE）
Total Variation（TV） model
Curvature-Driven Diffusions（CDD） model
connectivity and holistic principle
