CA03 - Describe the result. What is the highest multiplier...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
University of Tehran Department of Electrical and Computer Engineering Prof. H. Soltanian-zadeh Fall 2009 Digital Image Processing Assignment #3- Image Restoration Problem 1 i. Download the file fruit.tiff and convert to grayscale with ind2gray . Blur the image using 256x256 FFT's with the kernel ker = ones(7,7)/49 -You can use fspecial Command- Describe the differences between the blurred image and the original. What aspects of this artificial blurring do not conform to real-life blurring? ii. Make up a one-line command that will implement an inverse filter using FFT's given the blurred image and the kernel. Provide me with a copy of it. (You will have to nest several MATLAB commands.) Invert the blurring operation performed in the previous step. Is the result identical to the original? Should it be? Explain. iii. Create a noise image using 0.1*rand(size(fruit)) and add this to the blurred image created in the first step. Deblur using the inverse filter from the step above.
Background image of page 1
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Describe the result. What is the highest multiplier on rand that can be used while still making out the fruit in the restored image? Problem 2 – i. Download the file CA03.jpg. Add Gaussian noise N(μ=0,σ=10/256) to the image and then apply Salt and Pepper noise with equal probability Pa=Pb=0.1 to the result. ii. There are some different approaches to remove noise: a) Applying a 3x3 mean filter. b) Applying a 3x3 median filter c) Applying a 3x3 mean filter at first and then applying a 3x3 median filter. d) Applying a 3x3 median filter at first and then applying a 3x3 mean filter. Implement these approaches and remove noise using them. Show the result of each approach and discuss on results. (A short and perfect discussion) Compare different approaches using SAD (Sum of Absolute Difference) criteria: f(i,j) is the image before applying noise and g(i,j) is the image after denoising. ******* Please do not forget to submit your write-up with subject DIP-yourname (CA #3 )....
View Full Document

This note was uploaded on 01/27/2010 for the course ECE TECHCOMM taught by Professor Prof.soltanianzdeh during the Spring '10 term at Shahid Beheshti University.

Ask a homework question - tutors are online