Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising

Recurrent neural networks (RNNs) are traditionally used for machine learning applications for temporal sequences such as natural language processing. Its application to image processing is relatively new. In this paper, we apply RNNs to denoise images corrupted by mixed Poisson and Gaussian noise. T...

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Vydané v:	2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) s. 484 - 489
Hlavní autori:	Ranganath, Aditya, DeGuchy, Omar, Santiago, Fabian, Singhal, Mukesh, Marcia, Roummel
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2022
Predmet:	autoencoders image denoising Imaging Knowledge engineering Machine learning Natural language processing Noise measurement Noise reduction Recurrent neural networks upsampling
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