Laser & Optoelectronics Progress, Volume. 53, Issue 8, 81001(2016)
Super-Resolution Optical Fluctuation Imaging Algorithm Based on Spatial Gaussian Filter
In order to achieve real-time imaging with superresolution optical fluctuation imaging (SOFI), a novel SOFI algorithm combined with image filtering is proposed. Muti-frame images should be filtering processing, and the super-resolution images with high signal-noise ratio are obtained utilizing SOFI algorithm depending on temporal self correlations of fluorescent particles in muti-frame images. The result show that the SOFI algorithm based on spatial Gaussian filter can get a high signal-noise ratio super-resolution image from the low signal-noise ratio image sequences, and the calculating speed can be accelerated to 2.3 times, comparing different filters, weighing denoising effect and image resolution.
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Li Rui, Qu Huiming, Zhang Yunhai, Jiang Shan. Super-Resolution Optical Fluctuation Imaging Algorithm Based on Spatial Gaussian Filter[J]. Laser & Optoelectronics Progress, 2016, 53(8): 81001
Category: Image Processing
Received: Mar. 10, 2016
Accepted: --
Published Online: Aug. 11, 2016
The Author Email: Rui Li (lirui@sibet.ac.cn)