Document denoising using Convolutional Auto-Encoder (CAE)

A convolutional auto-encoder for removing noise from document images. In this project, I created an encoder-decoder model using a convolutional neural network (CNN) called Convolutional Auto-Encoder (CAE) which takes a noisy image and reconstructs it into the target image removing the noise.

ML Framework: TensorFlow, Keras

Language: Python

Libraries: matplotlib, NumPy

Application Areas: Image Processing and Computer Vision

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Run on Google Colab

Instructions to Run

• Open documentDenoising.ipynb file in Google colab
• Add your Kaggle authentication file "kaggle.json" to colab server
• Click run All from the colab menu bar