Digital Image Processing

Project 2 Image restoration

This Project counts 10% of the total score.

1.Implement a blurring filter using the equation (5.6-11) in textbook, and blur the test image ‘book_cover.jpg’ using parameters a=b=0.1 and T=1. (2%)

2.Add Gaussian noise of 0 mean and variance of 500 to the blurred image. (1%)

3.Restore the blurred image and the blurred noisy image using the inverse filter. (3%)

4.Restore the blurred noisy image using the parametric Wiener filter with at least 3 different parameters, and compare and analyse results with that of 3.(4%)

Requirement

1.You should finish this project by yourself and package your code and report in one folder, named after ‘Pro2_number_name’.

2.Deadline: 24:00, 24th April, 2016

3.Submission: ftp://public.sjtu.edu.cn

upload/Project2

user/pw: william-g/public

Data

1. Test_image2

2. Reference Code