Image Blurring & Deblurring With Noise Removal

Download Project Document/Synopsis

Here we introduce a system where you can blur and deblur the images with different effects. Here we demonstrate using various blurring methods such as average, disk , motion, sobel, perwitt. By using these effects, you can manipulate the image according to user preference. User can add noise to the image. User can remove noise from the image for better view. User must provide input for various type of blur , it can be radius,alpha etc according to the type selected by the user. This type of application is very useful for editing the image. User can view the original image with different effects. User can view the image with noise and without noise. User can also save the image, Images with different effects. This application also restores the image to original image.



Advantages
  • User can add various blur effects to the image.
  • User can save the image with different effects.
  • User can add noise to the image.
  • System allows the user to remove noise from the image for better view.
Disadvantages
  • Output image will be in black and white.

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