计算机技术与发展2017，Vol.27Issue(3)：97-102,6.DOI:10.3969/j.issn.1673-629X.2017.03.020
基于多个低秩纹理提取的图像校正方法
Image Rectification Method Based on Multiple Low-rank Textures Extraction
摘要
Abstract
Low-rank textures play an important role in image processing fields. By extracting the low-rank textures accurately,the distort-ed or damaged image can be rectified effectively. However,the existing methods based on texture extraction always rectify the region of interest as a whole,which makes it comes to nothing in many complex cases. Aiming at the above-mentioned problems,an improved rec-tification algorithm is proposed based on multiple low-rank textures extraction. The new rectification algorithm is able to extract multiple low-rank textures respectively and solve a large number of problems of image renewing for distorted or damaged images in practical ap-plication. In order to optimize the experimental results,the selected regions are segmented and each sub-region is rectified respectively which can enhance the adaptability of the initialization window to the texture. Experimental results demonstrate that the proposed method is able to rectify multiple low-rank textures in the same region of interest. In complex circumstances such as convex plane,multiple in-compatible regions,complex textures and so on,the ideal processing results can be obtained with it. Further more,the results are more in accord with human vision characteristics,which is a critical evaluation criteria.关键词
低秩纹理/增广拉格朗日乘数法/图像分割/多分辨率/分支定界Key words
low-rank textures/augmented Lagrangian multiplier method/image segmentation/multi-resolution approach/branch-and-bound scheme分类
信息技术与安全科学引用本文复制引用
马金辰,谢世朋,李海波..基于多个低秩纹理提取的图像校正方法[J].计算机技术与发展,2017,27(3):97-102,6.基金项目
国家自然科学基金资助项目(11547155) （11547155）
江苏省自然科学基金(BK20130883) （BK20130883）
南京邮电大学引进人才基金(NY213011,NY214026) （NY213011,NY214026）
