基于区域分割自适应的超分辨率算法  

Region-Based Super-Resolution with Adaptive Regularization

作　　者：刘刚[1,2] 戴明[1,2] 

机构地区：[1]中国科学院研究生院,北京100049 [2]长春光学精密机械物理研究所,吉林长春130033

出　　处：《微电子学与计算机》2012年第1期76-79,83,共5页Microelectronics & Computer

基　　金：国家"九七三"重点基础研究发展计划项目(2009CB72400105)

摘　　要：提出一个基于区域的超分辨率算法,把一张图像分成平滑区域和非平滑区域,对每一个不同图像区域采用相应的正则化项.正则化项参数也会在迭代过程中自适应的确定.实验结果表明所提出的算法在客观和主观评测都优于传统算法.In this paper,we propose a region-based super-resolution algorithm to apply a suitable regularization term for each region.In the algorithm,the image is divided into homogeneous and inhomogeneous regions.According to the type of region,we apply different filters for regularization.Regularization parameters are also adaptively determined during the iteration.Simulation results show that the proposed algorithm is superior to the conventional algorithm in term of objective quality as well as subjective one.

关 键 词：超分辨率层 正则化 各向异性非线性扩散. 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]