Image Noise Level Estimation for Rice Noise Based on Extended ELM Neural Network Training Algorithm

Image Noise Level Estimation for Rice Noise Based on Extended ELM Neural Network Training Algorithm

The estimation of image noise level is a critical task for image denoising or super-resolution reconstruction. Mathematical methods like patch-based or model-based methods, suffer from the sensitivity of the selection of homogeneous regions or the selection of a proper statistic model, leading to in...

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Bibliographic Details
Main Authors: Xiaohui Yang, Kaiwei Xu, Shaoping Xu, Peter Xiaoping Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Noise level estimation
deep learning
convolution neural network
extreme learning machine
dropout
Online Access:https://ieeexplore.ieee.org/document/8572779/

Internet

https://ieeexplore.ieee.org/document/8572779/

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