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.
出处
《微电子学与计算机》
CSCD
北大核心
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)
