摘要
超分辨率重建就是通过相应的算法,重建图像截止频率之外的细节信息,重构出一幅清晰的高分辨率图像。首先介绍了超分辨率重建算法——非均匀内差法,迭代反投影法(IBP),凸集投影法(POCS),说明了各算法的概念和应用,并着重介绍了基于最大后验概率(MAP)的图像超分辨率算法,给出了MAP超分辨率复原算法处理实际太赫兹图像的结果。实验表明,超分辨率图像重建具有重建效果好、抗噪声性能强的优点,有效地重建了高分辨率太赫兹图像,在太赫兹成像领域具有良好发展和应用前景。
Super-resolution algorithms （SR） can reconstruct spatial frequencies information above the limit frequency to a high resolution image with the corresponding methods. SR that include the non- uniform interpolation approach, IBP, POCS as well as the concept and application of the schemes are introduced, at the same time, the Maximum a posteriori （MAP） super-resolution is specified, moreover, the result of MAP super-resolution reconstructing scheme are presented aiming at the fact terahertz image. Experiments show that the SR algorithm has good effect of recovery, robust noise resistance, and this algorithm also accomplishes effectively reconstructing high-quality terahertz image, shows the developments and applications foreground utilizing super-resolution image processing schemes in Terahertz imaging field.
出处
《系统仿真技术》
2013年第4期306-309,314,共5页
System Simulation Technology
基金
国家杰出青年科学基金资助项目(61025014)
国家科技部创新基金资助项目(12C26213714122)
国家工业和信息化部科技创新专项基金资助项目(工信部科[2011]353号)
