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摘 要：文章结合结构修复算法及纹理修复算法各自的优点，并考虑显著结构对#br# 图像修复的巨大影响，提出结合显著结构重构与纹理合成的图像修复算法。算法先利用形态#br# 学算子剥离待修复图像中细小结构与大块区域；然后利用快速结构修复算法对图像进行处#br# 理；再利用插值对待修复图像进行显著结构重构；最后利用基于改进优先级的加权匹配图像#br# 修复算法进行后续修复。实验结果表明，对既有显著结构同时又包含丰富纹理的待修复图像，#br# 与传统算法相比，本文的算法不但有更好的修复效果，而且耗时更少。#br# 关 键 词：图像修复；结构修复；纹理合成；形态学算子；显著结构；优先级
Abstract: This paper presents an image restoration algorithm by integrating structure and#br# texture features with reconstruction of significant structure of images. Firstly, the algorithm splits#br# the fine structures and large areas in the damaged image using morphological operators. Secondly,#br# the rapid structural restoration algorithm is used for image inpainting. Thirdly, significant#br# structures in the image are reconstructed by interpolation. Finally, the large damaged areas are#br# restored by the weighted matching image restoration algorithm based on the modified priority. For#br# the damaged image with significant structure and texture, the experimental results show the better#br# restoration result and less time consuming of the proposed algorithm than that of the traditional#br# algorithms.#br# Key words: image restoration; structural restoration; texture synthesis; morphological#br# operators; significant structure; priority
摘要： 文章结合结构修复算法及纹理修复算法各自的优点，并考虑显著结构对
图像修复的巨大影响，提出结合显著结构重构与纹理合成的图像修复算法。算法先利用形态
学算子剥离待修复图像中细小结构与大块区域；然后利用快速结构修复算法对图像进行处
理；再利用插值对待修复图像进行显著结构重构；最后利用基于改进优先级的加权匹配图像
修复算法进行后续修复。实验结果表明，对既有显著结构同时又包含丰富纹理的待修复图像，
与传统算法相比，本文的算法不但有更好的修复效果，而且耗时更少。
