量子电子学报2017，Vol.34Issue(6)：656-661,6.DOI:10.3969/j.issn.1007-5461.2017.06.003
基于窄带优化的自适应多匹配块随机查找图像修复
Adaptive multiple matched patches random search image completion based on narrowband optimization
摘要
Abstract
In order to solve the inconsistent problem of traditional image inpaint process,an adaptive multiple matched patches random search image completion method based on narrowband optimization is proposed.Damaged images are decomposed by wavelet transformation to obtain low and high frequency sub-images with different resolution.The size and number of matched patches are adaptively calculated according to color and structure information of unrepaired patches along the damaged boundary of each sub-image.Matched patch sequence is found randomly based on the minimum heap,and the narrowband model is used to optimize the damaged boundary.The damaged boundary is inpainted from outside to inside until the damaged area is completed.The final inpainted result is restructured using the wavelet reconstruction algorithm.Experimental results show that the completion result with the proposed method has better visual consistency compared with the existing methods.关键词
图像处理/图像修复/多匹配块随机查找/窄带优化Key words
image processing/image completion/multiple matched patches random search/narrowband optimization分类
信息技术与安全科学引用本文复制引用
廖斌,苏涛..基于窄带优化的自适应多匹配块随机查找图像修复[J].量子电子学报,2017,34(6):656-661,6.基金项目
Supported by National Natural Science Foundation of China(国家自然科学基金,61300125) （国家自然科学基金,61300125）
