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Fluorescence microscopy has enabled a dramatic development in modern biology.
Two-photon laser scanning fluorescence microscopy
W. Denk, J. H. Strickler, and W. W. Webb · 1990
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A comparison of image restoration approaches applied to three-dimensional confocal and wide-field fluorescence microscopy
P. J. Verveer, M. J. Gemkow, and T. M. Jovin · 1999
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Image quality assessment: From error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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A non-local algorithm for image denoising
A. Buades, B. Coll, and J.-M. Morel · 2005
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Fluorescence microscopy
J. W. Lichtman and J.-A. Conchello · 2005
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K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
M. Aharon, M. Elad, and A. Bruckstein · 2006
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Image denoising by sparse 3-D transform-domain collaborative filtering
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2007
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Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data
A. Foi, M. Trimeche, V. Katkovnik, and K. Egiazarian · 2008
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Wavelets, ridgelets, and curvelets for Poisson noise removal
B. Zhang, J. Fadili, and J. Starck · 2008
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Handbook of Biological Confocal Microscopy
J. Pawley · 2010
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Image denoising in mixed Poisson–Gaussian noise
F. Luisier, T. Blu, and M. Unser · 2011
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A closed-form approximation of the exact unbiased inverse of the Anscombe variance-stabilizing transformation
M. Makitalo and A. Foi · 2011
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From learning models of natural image patches to whole image restoration
D. Zoran and Y. Weiss · 2011
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Dual tree complex wavelet transform based denoising of optical microscopy images
U. Bal · 2012
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Optimal inversion of the generalized Anscombe transformation for Poisson-Gaussian noise
M. Makitalo and A. Foi · 2013
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Weighted nuclear norm minimization with application to image denoising
S. Gu, L. Zhang, W. Zuo, and X. Feng · 2014
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Saturation-compensated measurements for fluorescence lifetime imaging microscopy
Y. Zhang, G. D. Vigil, L. Cao, A. A. Khan, D. Benirschke, T. Ahmed, P. Fay, and S. S. Howard · 2017
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A high-quality denoising dataset for smartphone cameras
A. Abdelhamed, S. Lin, and M. S. Brown · 2018
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RENOIR - A dataset for real low-light image noise reduction
J. Anaya and A. Barbu · 2018
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Image blind denoising with generative adversarial network based noise modeling
J. Chen, J. Chen, H. Chao, and M. Yang · 2018
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Universal denoising networks: A novel cnn-based network architecture for image denoising
S. Lefkimmiatis · 2018
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Noise2noise: Learning image restoration without clean data
J. Lehtinen, J. Munkberg, J. Hasselgren, S. Laine, T. Karras, M. Aittala, and T. Aila · 2018
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Imaging with a small number of photons
P. A. Morris, R. S. Aspden, J. E. C. Bell, R. W. Boyd, and M. J. Padgett · 2015
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Image registration and averaging of low laser power two-photon fluorescence images of mouse retina
N. S. Alexander, G. Palczewska, P. Stremplewski, M. Wojtkowski, T. S. Kern, and K. Palczewski · 2016
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A holistic approach to cross-channel image noise modeling and its application to image denoising
S. Nam, Y. Hwang, Y. Matsushita, and S. Joo Kim · 2016
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Benchmarking denoising algorithms with real photographs
T. Plötz and S. Roth · 2017
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Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang · 2017
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Denoising of microscopy images: A review of the state-of-the-art, and a New sparsity-based method
W. Meiniel, J.-C. Olivo-Marin, and E. D. Angelini · 2018
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Neural nearest neighbors networks
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Real-world noisy image denoising: A new benchmark
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Ffdnet: Toward a fast and flexible solution for CNN based image denoising
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Toward convolutional blind denoising of real photographs
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