计算机工程与应用Issue(19)：206-209,4.DOI:10.3778/j.issn.1002-8331.1309-0264
轮廓波系数引导的数字图像修复算法研究
Research of image inpainting algorithm led by contourlet coefficients
摘要
Abstract
In order to improve the accuracy of image inpainting, this paper extracts the contourlet coefficients of the origi-nal image, and then uses the contourlet coefficients to analyze texture information of the image, improves the priority cal-culation formula. By introducing a factor β to estimate texture information, it optimizes the inpainting order, repairs the complex vein parts first, and improves the sample-based image inpainting algorithm. The experimental results show that this method can avoid image blur and mosaic effect effectively, and reduce the time complexity of the algorithm.关键词
轮廓波/图像修复/基于样本/优先级Key words
contourlet/image inpainting/sample-based/priority分类
信息技术与安全科学引用本文复制引用
李宣妮,王慧琴,吴萌..轮廓波系数引导的数字图像修复算法研究[J].计算机工程与应用,2015,(19):206-209,4.基金项目
教育部归国留学人员科研扶持项目（No.K05055）；陕西省教育厅自然科学类专项研究项目（No.11JK1027）；陕西省教育厅项目（No.11JK1048）；陕西省科技厅自然基金（No.2013JM8015）。 （）
