https://github.com/vermavinay982/autoencoder-image-denoising

Random Noise removal from image, It can be used to enhance CCTV or photographs having Distortion, ISO Noise.
https://github.com/vermavinay982/autoencoder-image-denoising

anomaly-detection deep-learning keras machine-learning tensorflow

Last synced: 9 days ago
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Random Noise removal from image, It can be used to enhance CCTV or photographs having Distortion, ISO Noise.

• Host: GitHub
• URL: https://github.com/vermavinay982/autoencoder-image-denoising
• Owner: vermavinay982
• Created: 2021-02-22T16:33:30.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-06-26T18:09:57.000Z (over 3 years ago)
• Last Synced: 2024-10-14T14:11:34.969Z (24 days ago)
• Topics: anomaly-detection, deep-learning, keras, machine-learning, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 1.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# De-Noising_Autoencoder

Random Noise removed from the image, It can be used to enhance CCTV or photographs having noise.

ISO Noise can also be tried with this.

They were invented to help

1. Hidden layer to learn more robust features

2. Reduce risk of overfitting in autoencoder

3. Prevent autoencoder to learn a simple identity function (that would make it just repeat what is entered into the input)

## Some Results

![Result](recon.jpg)

## Features of AutoEncoder

1. Denoise the image using DeepLearning

2. Anomaly Detection with Keras, Tensorflow, Deep Learning

3. Compressing the image to a latent space