CAJ | 학술논문

针对Criminisi等人提出的基于样本的图像修复算法使用穷尽搜索的方式寻找最优匹配像素块，以及采用固定大小的修复像素块进行修复时产生的错误匹配和信息延伸对图像修复质量的影响，根据像素点周围邻域信息对该像素点的决定作用和结构信息的重要性，提出一种区域搜索和自适应模板图像修复方法，以增强信息的局部协调性和边界信息的恢复能力，提高图像整体的修复效果。大量实验表明，改进算法在减少修复时间的同时，能较好地保持图像的结构，从而使修复结果达到更好的视觉效果。
침대Criminisi등인제출적기우양본적도상수복산법사용궁진수색적방식심조최우필배상소괴，이급채용고정대소적수복상소괴진행수복시산생적착오필배화신식연신대도상수복질량적영향，근거상소점주위린역신식대해상소점적결정작용화결구신식적중요성，제출일충구역수색화자괄응모판도상수복방법，이증강신식적국부협조성화변계신식적회복능력，제고도상정체적수복효과。대량실험표명，개진산법재감소수복시간적동시，능교호지보지도상적결구，종이사수복결과체도경호적시각효과。
The exemplar-based image inpainting algorithm proposed by Criminisi and his partner, which uses exhaustive searching to get the best-matching patch and adopts fixed-size patch to fill the image, will cause error matching and information extension. For this problem, based on the decisive role of a pixel’s neighboring block in the pixel’s value and the importance of structure information, this paper presents an image inpainting algorithm based on regional searching and adaptive template to enhance the local information harmony and boundary recovery ability, so it can improve the whole inpainting effect. A number of experiment results demonstrate that the improved method not only reduces the inpainting time and keeps the structure better, but also has a better visual effect.