一种加权子空间分流拟合的图像全息修复算法  

Image Holographic Repair Algorithm Based on Weighted Subspace Split-flow Fitting

作　　者：许奇功[1] 

机构地区：[1]河南工程学院计算机学院,河南新郑451191

出　　处：《科技通报》2014年第8期200-202,共3页Bulletin of Science and Technology

摘　　要：传统的子空间非纹理图像修复算法只考虑结构信息特征子空间,对小区域破损部分需要通过多维搜索,图像修复效果不好。提出一种基于加权子空间分流拟合的图像全息修复算法,采用阵列流型全息向量对两子空间进行相异性加权,同时考虑结构信息特征和纹理信息特征,并采用最大似然算法对图像区域像素元素实现分流拟合修复,拟合修复过程中避免了对小区域元素多维搜索,实现全息修复。仿真结果表明,采用该算法进行严重受损图像修复,修复效果较好,PSNR值和GPU加速效果都有明显提高,在处理处理破损图像中具有一定的优越性。Traditional subspace non-texture image repair algorithm only considers structural information feature, the multi-dimensional search is need in the small area repair, and the image repair effect is bad. An improved image holographic re-pair algorithm is proposed based on weighted subspace split-flow fitting, and the structural information features and texture features are taken into consideration. The maximum likelihood algorithm is used for split-flow fitting, and the holographic repair is realized. Simulation result shows that the severely damaged images can be repaired with this method effectively, the PSNR value and GPU acceleration effect are improved, it has certain superiority in the image processing.

关 键 词：加权子空间 多维谱峰搜索 图像修复 

分 类 号：TP314[自动化与计算机技术—计算机软件与理论]