ABSTRACT Image completion is an approach to repair a damaged region (a hole) in an image. In this study, a novel image completion algorithm is proposed using texture direction to guide the completion process. We first analyse and detect the dominant texture direction using a gray-level co-occurrence matrix (GLCM). Based on the detected direction, we then generate a direction map that serves as a soft constraint during the completion process. Further, we propose an objective function that can balance the global texture structure and local coherency in order to maintain the structure consistency. Experimental results show that the proposed method has potential performance in maintaining the structure continuity and texture smoothness.

中文翻译：

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通过纹理方向分析完成图像

摘要 图像补全是一种修复图像中损坏区域（孔洞）的方法。在这项研究中，提出了一种新的图像补全算法，使用纹理方向来指导补全过程。我们首先使用灰度共生矩阵（GLCM）分析和检测主要纹理方向。基于检测到的方向，我们然后生成一个方向图，作为完成过程中的软约束。此外，我们提出了一个可以平衡全局纹理结构和局部一致性的目标函数，以保持结构的一致性。实验结果表明，该方法在保持结构连续性和纹理平滑度方面具有潜在的性能。