Image Noise Reduction with Autoencoder using Tensor Flow

Jai Sehgal, Dr Yojna Arora

Abstract: The shaping of image data requires a special approach in the neural network world. The well known neural network for shaping image data is the Convolutional Neural Network (CNN) or called Convolutional Autoencoder. Autoencoders have widely applied in dimension reduction and image noise reduction. In this project, Noise Reduction on images using the fashion-mnist dataset is performed. Convolutional Autoencoders are used to remove the noise of the noisy fashion-mnist images. The model was then checked for the training loss and the validation loss.

Keywords: Deep-Learning, Machine-Learning, Tensor Flow, Autoencoder, Convolutional Neural Network

How to Cite?: Jai Sehgal, Dr Yojna Arora, "Image Noise Reduction with Autoencoder using Tensor Flow", Volume 9 Issue 10, October 2020, International Journal of Science and Research (IJSR), Pages: 1626-1628, https://www.ijsr.net/getabstract.php?paperid=SR201020180621, DOI: https://dx.doi.org/10.21275/SR201020180621