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Microscopic image enhancement based on Fourier ptychography technique

机译:基于傅立叶指纹图谱技术的显微图像增强

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Image enhancement technique is utilized to emphasize the overall or local characteristics of pictures and widely used inaerospace, and machine vision application. However, most of these techniques are mathematical algorithms based oncaptured pictures instead of the imaging process. Fourier ptychographic microscopy (FPM) is a recently developedcomputational imaging approach which stitches together low-resolution images acquired under different angles ofillumination with the same intensity in Fourier space to produce a wide-field, high-resolution complex sample image. Inthis article, a theoretical model about the illumination intensity is proposed. The effect of uneven illumination intensitycan be reduced significantly based on our model. Furthermore, the quality of the reconstructed image can be enhanced byadjusting the intensity of the illumination light corresponding to the high frequency components of the original spectrum.
机译:图像增强技术用于强调图片的整体或局部特征,并广泛用于 航空航天和机器视觉应用。但是,这些技术大多数都是基于以下内容的数学算法: 捕获的图片,而不是成像过程。傅里叶气相色谱(FPM)是最近开发的 计算成像方法,将在不同角度下获得的低分辨率图像拼接在一起 在傅立叶空间中以相同强度进行照明,以产生宽视场,高分辨率的复杂样本图像。在 本文提出了一种关于光照强度的理论模型。照度不均匀的影响 根据我们的模型可以大大减少此外,可以通过以下方式提高重建图像的质量: 调整与原始光谱的高频分量相对应的照明光的强度。

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