CAJ | 학술논문

传统的基于偏微分方程的图像修复算法需要大量迭代，修复所耗时间较长，复杂度高。针对这一问题，提出了一种小波域的非迭代自适应图像修复算法。该算法对破损图像进行小波分解，找到待修复区域，根据待修复区域及其邻域像素值自适应选择修复模板大小，对修复模板内的像素值进行方向筛选，使修复过程严格按照等照度线方向行进，对修复后的图像进行小波重构。实验结果表明，该方法显著地缩短了修复时间，且对于图像的纹理细节、结构信息都达到了更好的修复效果。
전통적기우편미분방정적도상수복산법수요대량질대，수복소모시간교장，복잡도고。침대저일문제，제출료일충소파역적비질대자괄응도상수복산법。해산법대파손도상진행소파분해，조도대수복구역，근거대수복구역급기린역상소치자괄응선택수복모판대소，대수복모판내적상소치진행방향사선，사수복과정엄격안조등조도선방향행진，대수복후적도상진행소파중구。실험결과표명，해방법현저지축단료수복시간，차대우도상적문리세절、결구신식도체도료경호적수복효과。
The traditional image inpainting algorithm which is based on partial differential equations requires a large num-ber 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 iso-phote. The inpainted image is reconstructed by wavelet reconstruction. The experimental results show that the pro-posed algorithm not just can shorten time, and can reconstruct both texture detail and structure information of the dam-aged image with better performance.