A Patch Based Denoising Method Using Deep Convolutional Neural Network for Seismic Image

A Patch Based Denoising Method Using Deep Convolutional Neural Network for Seismic Image

The deep convolutional neural networks (CNNs) have been shown excellent performances for image denoising. However, the denoising CNN model trained with a specific noise level cannot deal with the images which have spatiotemporally variant random noise and low signal-to-noise ratio (SNR), such as sei...

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Bibliographic Details
Main Authors: Yushu Zhang, Hongbo Lin, Yue Li, Haitao Ma
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks (CNNs)
clustering
patch
seismic image denoising
signal preservation
spatiotemporally variant random noise
Online Access:https://ieeexplore.ieee.org/document/8884145/

Internet

https://ieeexplore.ieee.org/document/8884145/

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