Exact reconstruction of sampled images

I. Young, P. Verbeek, H. Netten
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引用次数: 3

Abstract

Summary form only given. The quality of the image displayed on the workstation monitor is inferior to that seen through the camera lens and it has been determined that there is no theoretical reason for this phenomenon. From the Nyquist sampling theorem and Fraunhofer diffraction theory it is known that the sampling frequency should be more than twice the highest frequency in the image plane of a camera lens. In microscopy, for a numerical aperture (NA) of 1.3 and a wavelength of 500 nm a sampling density of approximately 100 nm/pixel or a sampling frequency of 10 pixels/ mu m is required. If this condition is met, then the digitized information stored in the computer memory is sufficient to reconstruct the continuous image as seen through the lens. This reconstruction problem has been analyzed in detail, and it has been determined that instead of using the standard reconstruction procedure based on sinc functions, it is possible to reconstruct exactly a continuous chromosome image using a finite number of samples. This leads to the possibility of high-density resampling of the image to provide displays of arbitrarily high quality.<>
采样图像的精确重建
只提供摘要形式。工作站监视器上显示的图像质量不如通过摄像机镜头看到的图像质量,已经确定没有理论上的原因造成这种现象。从奈奎斯特采样定理和弗劳恩霍夫衍射理论可知,采样频率应大于相机镜头像面上最高频率的两倍。在显微镜中,对于数值孔径(NA)为1.3,波长为500 nm的情况,采样密度约为100 nm/像素或采样频率为10像素/ μ m。如果满足这个条件,那么存储在计算机存储器中的数字化信息就足以重建通过透镜看到的连续图像。对这个重建问题进行了详细的分析,并确定了使用基于sinc函数的标准重建程序,而不是使用有限数量的样本来精确地重建连续染色体图像。这使得高密度的图像重采样成为可能,从而提供任意高质量的显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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