数据采集与处理2016，Vol.31Issue(5)：989-995,7.DOI:10.16337/j.1004-9037.2016.05.016
一种改进的基于样图的图像修复算法
Improved Exemplar-Based Image Restoration Algorithm
摘要
Abstract
Image inpainting technique aims at infilling the images with missing or damaged portions in a way that they will be non-detectable for an observer.The Criminisi algorithm in the image inpainting is introduced.An improved algorithm is proposed to tackle the existing problem.These new improvements are in four aspects.Firstly,a new priority function is used to adj ust the order of the selected pixel block, and therefore the incorrect filling order caused by rapid decay of data term is avoided.Secondly,a Sobel operator is introduced to improve computing method of isophote intensity,making the inpainting order a-long the isophotes.Thirdly,a new matching searching method to identify the samples in the neighbor-hood of the damaged region based on similarity is employed.Finally,to smooth the propagation of error in updating the confidence value,a new formula is defined.Experimental results show the improved algo-rithm can get a satisfied inpainting result and improve repairing efficiency.关键词
图像修复/Sobel算子/等照度线/置信值Key words
image inpainting/Sobel operator/isophote/confidence value分类
信息技术与安全科学引用本文复制引用
戴磊,李尚同,黄轲,姜代红..一种改进的基于样图的图像修复算法[J].数据采集与处理,2016,31(5):989-995,7.基金项目
江苏省科技计划(BY2014032)资助项目 （BY2014032）
徐州市科技计划(KC15SH073)资助项目 （KC15SH073）
徐州工程学院科研(XKY2015201)资助项目。 （XKY2015201）
