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20192026
most citedArtificial Intelligence for Subsurface Imaging Understanding: A Decade Review of Challenges, Methods, Benchmarks, and Outlook

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cs.CV2019

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations

Luming Liang, Sen Deng, Lionel Gueguen +3

We propose a deep fully convolutional neural network with a new type of layer, named median layer, to restore images contaminated by the salt-and-pepper (s&p) noise. A median layer…