Inpainting based on total variation
Inpainting based on total variation
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DOI：
10.1109/icwapr.2007.4420804
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发表时间：
2007-11
期刊：
影响因子：
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通讯作者：
Wei Guo;L. Qiao
中科院分区：
文献类型：
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作者：
Wei Guo;L. Qiao
修复技术是一种以不可察觉的形式修改图像的技术，它和艺术本身一样古老。随着新的图像压缩标准JPEG2000的发布，小波修复问题越来越受到人们的关注。我们同时考虑了空域和小波域中缺失或损伤系数的填充问题。首先，我们提出了一种在空间域中自动恢复细长空白的算法。该算法根据图像的特点引入不同的权值，以较少的计算时间达到较好的修复效果。其次，针对基于小波的修复问题，提出了另一种新的算法。该算法简单，即使在高达90%的小波系数丢失的情况下，也有很好的恢复效果。而且，收敛速度极大地加快了。
Inpainting, the technique of modifying an image in an undetectable form, is as ancient as art itself. With the release of the new image compression standard JPEG2000, people pay more attention to the wavelet inpainting problems. We consider the problems of filling in missing or damaged coefficients in both spatial and wavelet domain. First, we propose an algorithm in order to restore long and narrow blank automatically in spatial domain. It introduces different weights into the algorithm according to features of image and we can achieve better inpainting results with much less computation time. Second, we present another new algorithm for the wavelet based inpainting problems. The algorithm is simple and has good recovery effect even if as high as 90% wavelet coefficients have been lost. Moreover, convergence rate is enormous speed up.