Paper
5 November 2014 Multi-channel super-resolution with Fourier ptychographic microscopy
Weixin Jiang, Yongbing Zhang, Qionghai Dai
Author Affiliations +
Abstract
Fourier ptychographic microscopy (FPM) is a recently developed imaging method, which stitches together a sequence of low-resolution images in Fourier space in the iterative manner. However, the high-resolution color image super-resolved by this method always has problems of dispersion when compared to the high-resolution image observed under highmagnification lens. In this paper, we propose a new method for super-resolving multi-channel images. Instead of simply applying the FPM algorithm to RGB channels respectively, the method considers the relationship among each channel, which is employed to correct the result. Experimental results demonstrate that the dispersion can be eliminated, compared with the super-resolving multi-channel image got from original FPM algorithm. Besides, the robustness of Fourier ptychographic imaging is improved and the running time of the super-resolution of color images is reduced.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weixin Jiang, Yongbing Zhang, and Qionghai Dai "Multi-channel super-resolution with Fourier ptychographic microscopy", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 927336 (5 November 2014); https://doi.org/10.1117/12.2071707
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
RGB color model

Reconstruction algorithms

Super resolution

Digital filtering

Image filtering

Intelligence systems

Filtering (signal processing)

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