Body: <p><a href="https://i.sstatic.net/FFjwb.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/FFjwb.png" alt="Sample blurred image"></a>
  <a href="https://i.sstatic.net/xBIQg.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/xBIQg.png" alt="Ground truth"></a></p>
  
  <p>I want to deblur text images using deep learning. Which approaches are best suited for the task? Any example networks? Is unsupervised network the best approach? GAN or cycle GAN for these purposes?</p>
  
  <p>I have currently prepared 1000 images for training (shapr+blur) is it sufficient? For each of these approaches, how many training images do I need? 
  I have attached sample blurred image and Ground truth</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-09-09T08:48:43.183Z
Comments.Text: Are these purposefully blurred pictures or shaky camera work?
Comments.UserDisplayName: Lio Elbammalf
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-09-09T09:45:50.290Z
Comments.Text: @LioElbammalf the blurred images were creating by applying motion blur filter to simulate real camera like distortion in blur images.
Comments.UserDisplayName: Bot_Start
Tags: <neural-networks><convolutional-neural-networks><unsupervised-learning><generative-adversarial-networks>
Title: Which approaches are best suited for text deblurring?
UserDisplayName: Bot_Start
ThreadText: # Which approaches are best suited for text deblurring?
  
  (Asked by: username_0 on 2019-09-09)
  
  [![Sample blurred image](https://i.sstatic.net/FFjwb.png)](https://i.sstatic.net/FFjwb.png)
  [![Ground truth](https://i.sstatic.net/xBIQg.png)](https://i.sstatic.net/xBIQg.png)
  
  I want to deblur text images using deep learning. Which approaches are best suited for the task? Any example networks? Is unsupervised network the best approach? GAN or cycle GAN for these purposes?
  
  I have currently prepared 1000 images for training (shapr+blur) is it sufficient? For each of these approaches, how many training images do I need?
  I have attached sample blurred image and Ground truth
  
  **Tags:** neural-networks, convolutional-neural-networks, unsupervised-learning, generative-adversarial-networks
  
  > **Comments:**
  > **username_1**: Are these purposefully blurred pictures or shaky camera work?  
  > **username_0**: @username_1 the blurred images were creating by applying motion blur filter to simulate real camera like distortion in blur images.  
  
  ---
  
  ## 0 answers
  
  