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Date Published:
30/03/2022
Abstract Views: 210
Views PDF: 436
Views PDF: 436
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Section
SCIENCE AND TECHNOLOGY AND TECHNOLOGY
How to Cite
Tran, T. N., Pham, V. Q., & Phan, C. D. (2022). Denoising images using convolutional autoencoder techniques. Dong A University Journal of Science, 1(1), 75-80. https://js.donga.edu.vn/index.php/daujs/article/view/9
Denoising images using convolutional autoencoder techniques
Main Article Content
Abstract
Denoising images is one of the principal problems in image processing in particular and data cleaning in general – the first step of machine learning. This paper proposed a model using autoencoder techniques combining the convolutional neural network to denoise the images. We also show the effectiveness of this model in the different types of popular noise in digital image processing: Gaussian noise, Salt and pepper noise, Poisson noise.
Article Details
Keywords
Convolutional Autoencoder (CAE), Denoise Image
References
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Gondara, L. Medical image denoising using convolutional denoising autoencoders. In 2016 IEEE 16th international conference on data mining workshops (ICDMW) IEEE, 241-246, 2016.
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Vincent, P., Larochelle, H., Bengio, Y., & Manzagol, P. A. Extracting and composing robust features with denoising autoencoders. In Proceedings of the 25th international conference on Machine learning, 1096-1103, 2008.
Xie, J., Xu, L., & Chen, E. Image denoising and inpainting with deep neural networks. In Advances in neural information processing systems, 341-349, 2012.
Gondara, L. Medical image denoising using convolutional denoising autoencoders. In 2016 IEEE 16th international conference on data mining workshops (ICDMW) IEEE, 241-246, 2016.
Perona, P., & Malik, J. Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on pattern analysis and machine intelligence, 12(7), 629-639, 1990.
Vincent, P., Larochelle, H., Bengio, Y., & Manzagol, P. A. Extracting and composing robust features with denoising autoencoders. In Proceedings of the 25th international conference on Machine learning, 1096-1103, 2008.
Xie, J., Xu, L., & Chen, E. Image denoising and inpainting with deep neural networks. In Advances in neural information processing systems, 341-349, 2012.