计算机工程与应用Issue(8)：131-135,5.DOI:10.3778/j.issn.1002-8331.1310-0007
基于聚类分割和纹理合成的图像修复改进算法
Improved algorithm for image inpainting based on clustering segmen-tation and texture synthesis
摘要
Abstract
Criminisi proposed exemplar-based image inpainting techniques need to traverse the whole image exemplar, it is too costly, and may choose the wrong exemplar, constantly updates iteration error messages resulting cumulative, so that a greater deviation may be in inpainting results. Meanwhile, considering the Criminisi algorithm priority function cal-culation may lead to a structural distortion in inpainting results, which proposes an improved algorithm for image inpainting based on clustering segmentation and texture synthesis, the search will be limited to the same categories zone with the source exemplar covered. In the pixel priority calculation, the pixel neighborhood gray gradient difference information is introduced, the priority of more reasonable formula is proposed to ensure maximum edge preferentially transmitted in complex scenes and update entries in confidence difference to treat newly filled pixels. The experimental results show that the improved algorithm not only solves the Criminisi algorithm possible continuation of structural bias problem, repairing the visual effect is more in line with people’s subjective feelings, but also greatly shortens the repair time.关键词
聚类分割/纹理合成/优先权/邻域灰度梯度差值Key words
clustering segmentation/texture synthesis/priority/neighborhood gray gradient difference分类
信息技术与安全科学引用本文复制引用
肖娟,王嵩,张雯雰..基于聚类分割和纹理合成的图像修复改进算法[J].计算机工程与应用,2014,(8):131-135,5.基金项目
湖南省教育厅一般项目（No.11C1182）；湖南省科技计划项目（No.2011TP4016-3）；2012年湘南学院基金项目（No.44）；湖南省教育厅一般项目（No.11C1183）；湖南省教育厅教改项目（湘教通[2010]243号No.394）；湘南学院项目（No.2010Y015）。 （）
