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DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling [article]

Sunghwan Joo, Sungmin Cha, Taesup Moon
2019 arXiv   pre-print
We propose DoPAMINE, a new neural network based multiplicative noise despeckling algorithm.  ...  Moreover, we derive a double-sided masked CNN architecture which can control the variance of the activation values in each layer and converge fast to high denoising performance during supervised training  ...  Second, we devise a novel double-sided masked CNN architecture, dubbed as DoPAMINE (Doublesided masked CNN for Pixelwise Adaptive MultIplicative Noise dEspeckling), which maintains the conditional inde-pendence  ... 
arXiv:1902.02530v1 fatcat:f4rph3qksnekjdfvz7n4hmcctq

DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling

Sunghwan Joo, Sungmin Cha, Taesup Moon
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We propose DoPAMINE, a new neural network based multiplicative noise despeckling algorithm.  ...  Moreover, we derive a double-sided masked CNN architecture which can control the variance of the activation values in each layer and converge fast to high denoising performance during supervised training  ...  Second, we devise a novel double-sided masked CNN architecture, dubbed as DoPAMINE (Doublesided masked CNN for Pixelwise Adaptive MultIplicative Noise dEspeckling), which maintains the conditional independence  ... 
doi:10.1609/aaai.v33i01.33014031 fatcat:xpo7jcgmlbflldhqoawzl6geyy

Deep learning methods for SAR image despeckling: trends and perspectives [article]

Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva
2020 arXiv   pre-print
Despeckling is an important task that aims at removing such noise, so as to improve the accuracy of all downstream image processing tasks.  ...  SAR despeckling.  ...  Needless to say, such a strong noise can be highly disruptive for the extraction of useful information, masking altogether precious fine details of the imaged scene.  ... 
arXiv:2012.05508v1 fatcat:ddktdelm7bebveytq3y5bhvkli