Implementation of Popular Digital Image Processing Filtering Operations
-
Updated
Feb 13, 2022 - Jupyter Notebook
Implementation of Popular Digital Image Processing Filtering Operations
Consider an image which is corrupted by both additive Gaussian noise and defocus blur. Here I have implemented a Wiener filter to restore the image to make it less noisy and less blurry. To evaluate the restored image I use PSNR (Peak Signal to Noise Ratio).
This Matlab code is used to add the Gaussian Noise to images.
Advanced Image Processing (AIP1091)
Add a description, image, and links to the guassian-noise topic page so that developers can more easily learn about it.
To associate your repository with the guassian-noise topic, visit your repo's landing page and select "manage topics."