Denoising Images with Varying Noises Using Autoencoders
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-4018-9_1
Reference26 articles.
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2. Katiyar, A., Katiyar, G.: Denoising of images using neural network: a review. In: Advances in System Optimization and Control, pp. 223–227. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-0665-5_20
3. Boyat, A.K., Joshi, B.K.: A review paper: noise models in digital image processing. arXiv preprint arXiv:1505.03489 (2015)
4. Kamble, V.M., Bhurchandi, K.: Noise estimation and quality assessment of Gaussian noise corrupted images. In: IOP Conference Series: Materials Science and Engineering. vol. 331, no. 1. IOP Publishing (2018)
5. Singh, V., et al.: Adaptive type-2 fuzzy approach for filtering salt and pepper noise in grayscale images. IEEE Trans. Fuzzy Syst. 26(5), 3170–3176 (2018)
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