Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Project 4

102 views

Published on

Project 4

Published in: Education
  • Be the first to comment

  • Be the first to like this

Project 4

  1. 1. CS-467 Image processing and Computer Vision Course Project 4 Goals: 1) To learn how to detect impulse noise and then filter it based on the detection results. 1. Design the following Matlab function: a) A function, which utilizes differential rank impulse detection followed by median filtering only of those pixels, which were detected as noisy. Do not forget to take care of border effect and to extend an image over its borders using mirroring. The function shall accept an image (matrix), the length of a rank interval r, and threshold s (see slide 17 of Lecture-6) as parameters and return a filtered image (matrix). 2. Choose an image ( , )f x y 3. Generate random impulse noise ( , )x yη with the corruption rate 0.2 using the function, which you designed earlier (Project 3), and save a noisy picture. 4. Filter your noisy image using the median filter with the differential rank impulse detector. Use the function, which you designed. You may apply this filter more than 1 time, if necessary. Try different values of interval r, and s and find the values giving the best filtering result in terms of RMSE/PSNR. 5. Save your best resulting image. 6. Prepare a brief technical report containing your RMSE/PSNR values.

×