相似图像块逼近的人脸超分重建残差补偿框架  

Residue compensation framework for human face super-resolution reconstruction based on linear combination approximation of similarity image patches

作　　者：马祥[1,2] 

机构地区：[1]长安大学信息工程学院,陕西西安710064 [2]西安交通大学电子与信息工程学院,陕西西安710049

出　　处：《现代电子技术》2012年第18期105-107,共3页Modern Electronics Technique

基　　金：国家自然科学基金资助项目(61101215);中央高校基本科研业务费专项资金(CHD2011JC146);长安大学基础研究支持计划专项基金

摘　　要：为了提高人脸图像超分辨率重建算法中残差补偿步骤的效果,提出一种通用的基于内容相似图像块线性组合逼近的残差补偿框架,不经过搜索步骤,使用训练集人脸图像同一内容的图像块来进行运算。所提框架中的全局重建步骤,可以使用不同的重建方法。实验结果表明,在这种框架下的残差补偿方法,相比经典的邻域嵌入残差补偿方法,可以更好地恢复出初步重建的人脸图像细节信息。因为这是一种通用的残差补偿方法,从而可以推测凡使用邻域残差补偿的算法,均可借助本算法框架将重建结果进一步的提升。A general residue compensation framework based on similar content and linear combination of image patches is proposed to improve effect of residue compensation step in the human face super-resolution reconstruction algorithm. With the framework, the patches with the same content in the training set human face images is used to compute without searching step. The different reconsrtruction method is allowed in the global reconstruction step of the proposed framework. The experimental results indicate that the proposed residue compensation method can recover the detail of preliminarily-reconstruc ted human face image much better than the typical neighbourhood embedded residue compensation methods. Since it is a gen- eral residue compensation framework, it can derive any algorithms which adopt the neighbourhood residue compensation, and improve the reconstruction result by means of this algorithm framwork.

关 键 词：超分辨率重建 残差补偿 内容相似 人脸图像 

分 类 号：TN919-34[电子电信—通信与信息系统] TP15[电子电信—信息与通信工程]