Block-based image inpainting in the wavelet domain
Block-based image inpainting in the wavelet domain
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DOI：
10.1007/s00371-007-0139-2
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发表时间：
2007-08
期刊：
影响因子：
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通讯作者：
Ubiratã A. Ignácio;C. Jung
中科院分区：
文献类型：
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作者：
Ubiratã A. Ignácio;C. Jung
提出了一种新的基于块的小波域图像修复模型。该技术将修复过程分成两个不同且重要的步骤，都使用了小波系数的能量。该模型首先利用小波细节系数估计图像的梯度向量，用小波系数的能量对每个向量进行加权。然后使用这种信息来确定属于修复区域的哪个块应该首先被填充。在此基础上，采用了一种自适应的小波域纹理合成方法，成功地填充了这一块。这两个步骤依次应用，直到修复区域完全填满为止。实验结果表明，该算法能够以较好的视觉质量填充较大的修复区域，其结果与其他同类图像修复方法相当或更好。
This paper introduces a new model for block-based image inpainting in the wavelet domain. The proposed technique separates the inpainting process into two different and important steps, both using the energy of wavelet coefficients. First, the model explores wavelet detail coefficients to estimate the image gradient vector, weighting each vector with the energy of wavelet coefficients. Such information is then used to determine which block belonging to the inpainting region should be filled first. After that, an adapted method for texture synthesis in the wavelet domain is applied in order to successfully fill this block. These two steps are applied successively, until the inpainting region is completely filled. Experimental results indicate that the proposed algorithm can fill large inpainting regions with good visual quality, presenting results comparable to or better than other competitive approaches for image inpainting.