Image Denoising With Deep Convolutional Neural and Multi-Directional Long Short-Term Memory Networks Under Poisson Noise Environments

Image Denoising With Deep Convolutional Neural and Multi-Directional Long Short-Term Memory Networks Under Poisson Noise Environments

Removal Poisson noise poses a very challenging technical issue because it is difficult to capture noise characteristics. This induces from the fact that Poisson noises from different sources affect each image pixel proportional to the pixel level. This paper addresses a new image denoising method fo...

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Bibliographic Details
Main Authors: Wuttipong Kumwilaisak, Teerawat Piriyatharawet, Pongsak Lasang, Nattanun Thatphithakkul
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Poisson noise
deep learning
convolutional neural network
multi-directional LSTM network
distortion-mutual information function
Online Access:https://ieeexplore.ieee.org/document/9085404/

Internet

https://ieeexplore.ieee.org/document/9085404/

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