Microscopic image enhancement based on Fourier ptychography technique

Ying Wang, Guocheng Zhou, Yao Hu, Xuemin Cheng, Hao Qun, Shaohui Zhang
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引用次数: 3

Abstract

Image enhancement technique is utilized to emphasize the overall or local characteristics of pictures and widely used in aerospace, and machine vision application. However, most of these techniques are mathematical algorithms based on captured pictures instead of the imaging process. Fourier ptychographic microscopy (FPM) is a recently developed computational imaging approach which stitches together low-resolution images acquired under different angles of illumination with the same intensity in Fourier space to produce a wide-field, high-resolution complex sample image. In this article, a theoretical model about the illumination intensity is proposed. The effect of uneven illumination intensity can be reduced significantly based on our model. Furthermore, the quality of the reconstructed image can be enhanced by adjusting the intensity of the illumination light corresponding to the high frequency components of the original spectrum.
基于傅里叶平面摄影技术的显微图像增强
图像增强技术用于强调图像的整体或局部特征,在航空航天、机器视觉等领域应用广泛。然而,这些技术大多是基于捕获图像的数学算法,而不是成像过程。傅立叶显微成像(FPM)是最近发展起来的一种计算成像方法,它将在傅立叶空间中以相同强度的不同照明角度下获得的低分辨率图像拼接在一起,以产生宽视场,高分辨率的复杂样本图像。本文提出了一个关于光照强度的理论模型。基于我们的模型可以显著降低光照强度不均匀的影响。此外,通过调整与原始光谱的高频分量对应的照明光的强度,可以提高重构图像的质量。
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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