基于方差调节策略耦合结构特征的图像修复算法

针对当前图像修复算法主要采用图像的 R、G、B 信息来获取最优匹配块,忽略了图像的结构特征,导致修复图像中含有纹理不连续及块现象等问题,设计了方差调节策略耦合结构特征的图像修复算法。 首先,借助图像的梯度模值来构造结构度量因子,以度量图像的结构特征。 联合置信度项、结构度量因子和数据项,构造优先权函数,以寻求优先修复块。 然后,采用图像的方差特征,建立方差调节策略,考虑图像纹理的动态变化,寻求与当前纹理情况最吻合的样本块尺寸。 最后,将结构度量因子引入到最优匹配块的搜索过程中,以弥补通过 R、G、B 信息搜索最优匹配块时所忽略图像结构特征的不足,得出最优匹配块修复图像,实现损坏区域的复原。 通过实验结果发现,较当前修复方案而言,所提算法的修复图像具备更优的纹理连续性。

Image inpainting algorithm based on variance adjustment strategy coupling structural feature

In view of the current image restoration algorithms mainly use the R, G, B information of the image to obtain the optimalmatching block, which ignoring the structural features of the image and resulting in the problem of texture discontinuity and blockphenomenon in the repaired image, this paper designs an image restoration algorithm with variance adjustment strategy coupling structuralfeatures. Firstly, the gradient modulus of image is used to construct the structure measurement factor to measure the structurecharacteristics of image. The priority function is constructed by combining the confidence term, structure measure factor and data term tofind the priority repair block. Then, the variance feature of the image is used to establish the variance adjustment strategy, consideringthe dynamic changes of the image texture, to find the most consistent sample block size with the current texture situation. Finally, thestructure measure factor is introduced into the search process of the optimal matching block to make up for the lack of the ignored imagestructure features when searching the optimal matching block through R, G, B information, accurately obtain the optimal matchingblock, and achieve the repair of the damaged area. The experimental results show that the algorithm has better texture continuity andvisual effect than the current algorithm, and the performance is better.