Autoencoder For Denoising Images

  • As input of the encoder we will give image with added noise (usually noise from Gaussian Distribution)
  • And the output will be image without noise
  • By training, autoencoder based on this input & output, it will learn to generate important latent features from noisy images
  • And use that features to generate denoisy image
  • Then this model can be used to denoise any noisy image
  • This idea can be extended to any modal, i.e. text