中文摘要：

双树的复杂小浪变换是在信号并且图象处理的一个有用工具。在这份报纸，我们建议双树的复杂小浪变换(? WT ) 为图象 inpainting 的基于的算法问题。我们的途径基于蔡，禅宗，沈和 Shens 基于 framelet 的算法。复杂小浪变换在移动不变性， directionality 和抗混叠的意义超过标准真实小浪变换。数字结果说明我们的算法的好表演。

英文摘要：

The dual-tree complex wavelet transform is a useful tool in signal and image process- ing. In this paper, we propose a dual-tree complex wavelet transform （CWT） based algorithm for image inpalnting problem. Our approach is based on Cai, Chan, Shen and Shen＇s framelet-based algorithm. The complex wavelet transform outperforms the standard real wavelet transform in the sense of shift-invariance, directionality and anti-aliasing. Numerical results illustrate the good performance of our algorithm.