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基于PSF改进的POCS超分辨率图像重构
引用本文:邵青,魏江,卢选民.基于PSF改进的POCS超分辨率图像重构[J].现代电子技术,2011,34(2):75-78.
作者姓名:邵青  魏江  卢选民
作者单位:西北工业大学电子信息学院,陕西西安,710129
基金项目:国家文物局和敦煌研究院研究基金资助项目
摘    要:为了提高重构的图像质量,给出了模拟一修正迭代的凸集投影(POCS)超分辨率图像重构方法和具体实现步骤。针对重构的超分辨率图像高频分量不足的缺点,提出了一种有效的改进方法。该方法通过对点扩散函数(PSF)的改进做到了有效地保留POCS超分辨率图像重构算法中的边沿信息。仿真实验结果表明,该方法可行性好,能够有效地保持高频分量,从而达到提高图像质量的目的。

关 键 词:超分辨率  凸集投影  点扩散函数  高频分量

POCS Super-resolution Image Reconstruction Based on Improved PSF
SHAO Qing,WEI Jiang,LU Xuan-min.POCS Super-resolution Image Reconstruction Based on Improved PSF[J].Modern Electronic Technique,2011,34(2):75-78.
Authors:SHAO Qing  WEI Jiang  LU Xuan-min
Affiliation:(Electronics and Information School,Northwestern Polytechnical University,Xi’an 710129,China)
Abstract:For the purpose to improve image reconstruction quality, a POCS-based simulation-correction iteration method to reconstruct super-resolution images is described in this paper. A novel method is designed for overcoming the lack of high- frequency component in reconstructed images. The edge information in POCS super-resolution image reconstruction algorithm is kept effectively through the improved PSF. Experimental results show that the proposed algorithm has good feasibility, and can impove the image quality by retaining high frequency component.
Keywords:super resolution  projection onto convex set  point spread function  high-frequency component
本文献已被 CNKI 维普 万方数据 等数据库收录!
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