Speckle suppression using the convolutional neural network with an exponential linear unit

Tianjiao Zeng; Zhenbo Ren; Edmund Y. Lam

doi:10.1364/COSI.2018.CW5B.3

Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2018),
paper CW5B.3
•https://doi.org/10.1364/COSI.2018.CW5B.3

Speckle suppression using the convolutional neural network with an exponential linear unit

Tianjiao Zeng, Zhenbo Ren, and Edmund Y. Lam

Computational Optical Sensing and Imaging 2018

Orlando, Florida United States
25–28 June 2018
ISBN: 978-1-943580-44-6

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Machine Learning in Computational Sensing and Imaging II (CW5B)

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T. Zeng, Z. Ren, and E. Y. Lam, "Speckle suppression using the convolutional neural network with an exponential linear unit," in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), OSA Technical Digest (Optica Publishing Group, 2018), paper CW5B.3.

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Abstract

We describe a convolutional neural network for image despeckling with the exponential linear unit activation function, which outperforms state-of-the-art approaches on the reduction of speckle noise.

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