关键词: 图像修复, 小波分解, 自适应, 方向筛选, 小波重构

Abstract: The traditional image inpainting algorithm which is based on partial differential equations requires a large number of iterations, so it consumes a lot of time and is more complicated. To solve this problem, a non-iterative adaptive image inpainting algorithm in the wavelet domain is presented. The damaged image is decomposed by wavelet transformation. According to both the area to be inpainted and the pixels around it, a mask is chosen adaptively. And the pixels can be selected according to its direction, so that the inpainting process is strictly performed according to the direction of isophote. The inpainted image is reconstructed by wavelet reconstruction. The experimental results show that the proposed algorithm not just can shorten time, and can reconstruct both texture detail and structure information of the damaged image with better performance.

Key words: image inpainting, wavelet decomposition, adaptive, direction filter, wavelet reconstruction