Nonlocal Curvature-Driven Diffusion Model for Image Inpainting

Li Li, Han Yu
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引用次数: 7

Abstract

A nonlocal image inpainting model is proposed by incorporating the nonlocal differential operators into the curvature-driven diffusion model. The new model differs from the original model in that pixels of similar structures rather than pixels in the neighborhood (the case for the original model) are utilized to estimate the lost pixels. This difference makes the new model performs very efficiently in inpainting images, especially textured images.
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图像涂抹的非局部曲率驱动扩散模型
将非局部微分算子引入到曲率驱动扩散模型中,提出了一种非局部图像涂抹模型。新模型与原始模型的不同之处在于,使用相似结构的像素而不是邻近的像素(原始模型的情况)来估计丢失的像素。这种差异使得新模型在绘制图像时非常有效,特别是纹理图像。
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