关键词: 图像修复, 古墓葬壁画, 非下采样轮廓波变换, 结构连续块

Abstract: Aiming at the problem of poor continuity of information after the repairing of serious defects, the ancient tombs mural images are taken as an example, a restoration method based on the combination of continuous blocks and multi-scale transformation is proposed. Firstly, the defect boundary is determined according to the result of image defect marking. Secondly, the priority of boundary point is determined by decreasing confidence, matching confidence, data item and gradient term. Thirdly, it uses the pixel and structure difference between the block to be repaired and the matching block global search to get the best matching block to replace the to-be-repaired block. Then, the new-fill-point confidence item is updated, the defect boundary is re-determined until empty, the coarse repair result is obtained and converted into HSV color space. Finally, the Non-Subsampled Contourlet Transform（NSCT） is used to decompose the [V] component, the low frequency information is inversely transformed with the high frequency information after being restored by the suppression data item method, the result is combined with the [H] and [S] components and converted into the RGB color space to obtain the final image restoration result. The experimental results show, compared with Criminisi and other methods, the method based on the combination of continuous blocks and multi-scale transform has enhanced continuity, peak signal-to-noise ratio and mean-square error, proving the effectiveness of the proposed method.

Key words: image inpainting, tomb murals, Non-Subsampled Contourlet Transform（NSCT）, continuous patch of structure