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A Novel Bandelet-Based Image Inpainting

机译:一种基于Bandelet的新型图像修复

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摘要

This paper proposes a novel image inpainting method based on bandelet transform. This technique is based on a multi-resolution layer to perform image restoration, and mainly utilizes the geometrical flow of the neighboring texture of the damaged regions as the basis of restoration. By performing the warp transform with geometrical flows, it transforms the textural variation into the nearing domain axis utilizing the bandelet decomposition method to decompose the non-relative textures into different bands, and then combines them with the affine search method to perform image restoration. The experimental results show that the proposed method can simplify the complexity of the repair decision method and improve the quality of HVS, and thus, repaired results to contain the image of contour of high change, and in addition, offer a texture image of high-frequency variation. These repair results can lead to state-of-the-art results.
机译:提出了一种基于bandelet变换的图像修复方法。该技术基于多分辨率层来执行图像恢复,并且主要利用受损区域的相邻纹理的几何流作为恢复的基础。通过对几何流进行翘曲变换,利用bandelet分解方法将纹理变化变换为近域轴,将非相对纹理分解为不同的带,然后将它们与仿射搜索方法结合起来进行图像恢复。实验结果表明,所提出的方法可以简化修复决策方法的复杂度,提高HVS的质量,从而修复后的结果包含高变化的轮廓图像,此外,还可以提供高纹理的纹理图像。频率变化。这些修复结果可以带来最新的结果。

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