基于断裂结构线匹配模型的大破损区域图像修复算法

针 对现阶段含有复杂结构信息的大破损区域图像修复算法中存在的断裂结构线连接错误、连接不平滑的问题,提出一种基于断裂结构线匹配模型的大破损区域图像修复算法。首先,深入分析了影响断裂结构线匹配度计算的因子,并根据这些影响因子的重要程度赋予不同权重值,在此基础上构造了一种断裂结构线匹配模型以得到相应的断裂结构线匹配对；然后,在这些断裂结构线匹配对的基础上拟合出光滑结构线,并将大的破损区域划分为了不同的子区域；最后,使用块匹配算法对破损子区域进行像素填充。在进行的6组对比实验中,所提算法在处理含有丰富结构信息的大破损区域边缘时,能够准确地对断裂结构线进行配对并且能在配对结果的指导下平滑连接断裂结构线,修复后的图像视觉效果明显比改进后的Criminisi算法、Hays算法以及IIPBDR算法得到的效果好。

Large Damaged Area Image Inpainting Algorithm Based on Matching Model for Broken Structure Line

To solve the problems such as mismatching connecting or unsmooth connecting,when inpainting large damaged region with complicated structure information,an image inpainting algorithm based on matching model for broken structure line was proposed in this paper.Firstly,several potential factors which impact the calculation of the matching degree between the broken structure lines are analyzed deeply,and different weights are assigned into different factors based on their significance.On that basis,a matching model for broken structure lines is constructed to get matching pairs among these broken structure lines.Secondly,the fitting structure lines can be obtained smoothly according to these matching pairs,and they can partition the large damaged region into different blocks.At last,block matching algorithm is adopted to pixel filling in these damaged blocks.Compared with improved Crimimsi algorithm,Hays algorithm and IIPBDR algorithm in 6 experiments,our approach can match the broken structure lines accurately,and can smoothly connect these broken structure lines guided by the matching result.The experimental results demonstrate that our approach can effectively inpaint large damage region with complicated structure,and its inpainting result has a better visualconnectivity.