Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks

Varun Mannam; Yide Zhang; Yinhao Zhu; Scott Howard

doi:10.1364/MICROSCOPY.2020.MW2A.3

Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks

Image and Video Processing 2021-06-30 v1

Authors: Varun Mannam , Yide Zhang , Yinhao Zhu , Scott Howard

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Abstract

We present a new convolutional neural network (CNN) based ImageJ plugin for fluorescence microscopy image denoising with an average improvement of 7.5 dB in peak signal-to-noise ratio (PSNR) and denoising instantly within 80 msec.

Keywords

image denoising

Cite

@article{arxiv.2006.13801,
  title  = {Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks},
  author = {Varun Mannam and Yide Zhang and Yinhao Zhu and Scott Howard},
  journal= {arXiv preprint arXiv:2006.13801},
  year   = {2021}
}

Comments

Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN) OSA Technical Digest (Optical Society of America, 2020), paper MW2A.3

Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks

Abstract

Keywords

Cite

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