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Image inpainting with salient structure completion and texture propagation

机译:具有显着结构完成和纹理传播的图像修复

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摘要

Image inpainting technique uses structural and textural information to repair or fill missing regions of a picture. Inspired by human visual characteristics, we introduce a new image inpainting approach which includes salient structure completion and texture propagation. In the salient structure completion step, incomplete salient structures are detected using wavelet transform, and completion order is determined through color texture and curvature features around the incomplete salient structures. Afterwards, curve fitting and extension are used to complete the incomplete salient structures. In the texture propagation step, the proposed approach first synthesizes texture information of completed salient structures. Then, the texture information is propagated into the remaining missing regions. A number of examples on real and synthetic images demonstrate the effectiveness of our algorithm in removing occluding objects. Our results compare favorably to those obtained by existing greedy inpainting techniques.
机译:图像修补技术使用结构和纹理信息来修复或填充图片的缺失区域。受人类视觉特征的启发,我们引入了一种新的图像修复方法,其中包括显着的结构完成和纹理传播。在突出结构完成步骤中,使用小波变换检测不完整的显着结构,并通过不完整显着结构周围的颜色纹理和曲率特征确定完成顺序。然后,使用曲线拟合和延伸完成不完整的凸显结构。在纹理传播步骤中,所提出的方法首先综合完成的凸显结构的纹理信息。然后,纹理信息被传播到剩余的缺失区域中。真实和合成图像上的许多示例证明了我们的算法在去除遮挡物体方面的有效性。我们的结果与通过现有贪婪修复技术获得的结果相比具有优势。

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