Friday, 23 September 2011

Task 4. Spatial ltering for noise removal
Study the e ect of di erent ltering on a noise image, by writing, for example:
>> im = imread('moon.tif');
>> noisy_im = imnoise(im,'gaussian');
>> my_filter = ...
>> filtered_im = imfilter(im,my_filter);
>> ...
Give a look at the noisy image to choose a suitable lter.
Task 5. (optional)
Play by ltering images using di erent lters: Sobel, Laplacian...
http://www.hondaclub.com/forum/members/chrisben.html
http://www.bandsintown.com/fan/chrisben
http://blog.livableworld.org/user/chrisben
http://middlestart.org/forums/member/351584/
http://www.asianborderlands.net/chrisben
http://www.laidoffcentral.com/users/chrisben

The written lab report should contain:
 The results from task 1, i.e. images and histograms before and after
applying 'histogram stretching'.
 The function my_histeq and the results after histogram equalization
of the image tire.tif.
 The results from task 3, i.e. images before and after ltering (using at
least one smoothing lter and one sharpening lter). Which lters did
you use? How did you choose the parameters? Motivate your choices.
 The results from task 4, i.e. images with and without noise (using at
least one lter). Which lter did you choose (size, weights)? Why?
Any additional comments (for example: what did you like? Was the lab
interesting, boring, too easy, too dicult?) is very welcome!
The report should be given to me no later than two weeks after
the lab has been performed.
Please, do NOT send me word document by e-mail. Thank you!
4

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