本文提出了一种采用顺序修复的样本例图像修复算法,该方法在原Criminisi经典图像修复算法的基础上对修复顺序进行新的尝试.原Criminisi经典算法的修复顺序通过计算优先级得出,随着修复的深入优先级逐渐趋近于0,导致算法失去作用.为解决该问题,本文采用顺序修复的方法来代替优先级决定顺序,避免出现算法失去作用的情况;同时本文提出的“倒L,”型样本模板来增强结构的传播能力、提高匹配的正确率.实验结果证明,本文的修复算法相对Criminisi算法具有优势并取得很好的修复结果.%This paper proposes a novel image inpainting algorithm based on exemplar repaired in a sequential manner.This method makes a new experiment on inpainting order of Criminisi classical algorithm.The inpainting order of the classical algorithm is obtained by calculating the priority.But the priority is tending to 0 with the sustained inpainting.As a result,the algorithm will fail and produce error inpainting results.In order to solve this problem,we replace the priority determined order with a sequential manner,which can keep the algorithm working all the time.Moreover,we propose a novel exemplar pattern like an inverted L.The pattern in our method can help to enhance the ability of structure propagation and improve correction rate of patch matching.Experimental results prove that the novel algorithm can achieve better visual effects.
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