Faculty of Engineering & Technology, Multimedia University, Melaka, Malaysia.
J Microsc. 2010 Feb;237(2):111-8. doi: 10.1111/j.1365-2818.2009.03325.x.
Interpolation techniques that are used for image magnification to obtain more useful details of the surface such as morphology and mechanical contrast usually rely on the signal information distributed around edges and areas of sharp changes and these signal information can also be used to predict missing details from the sample image. However, many of these interpolation methods tend to smooth or blur out image details around the edges. In the present study, a Lagrange time delay estimation interpolator method is proposed and this method only requires a small filter order and has no noticeable estimation bias. Comparing results with the original scanning electron microscope magnification and results of various other interpolation methods, the Lagrange time delay estimation interpolator is found to be more efficient, more robust and easier to execute.
用于图像放大以获取更多表面有用细节(如形貌和机械对比度)的内插技术通常依赖于分布在边缘和急剧变化区域周围的信号信息,并且这些信号信息也可用于预测样本图像中的缺失细节。然而,许多这些内插方法往往会使边缘周围的图像细节平滑或模糊。在本研究中,提出了一种拉格朗日时滞估计内插器方法,该方法仅需要较小的滤波器阶数,并且没有明显的估计偏差。将结果与原始扫描电子显微镜放大倍数以及各种其他内插方法的结果进行比较,发现拉格朗日时滞估计内插器效率更高、更稳健且更容易执行。