EE326 Lab 4 

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 Image Restoration
1. Remove the noise from the input images Q4_1_1.tif, Q4_1_2.tif, Q4_1_3.tif
and Q4_1_4.tif. Submit your code and the output images with file names of
Q411_ .m and Q411_ .tif, etc. Expla 学号 学号 in what method is used to each
of the images.
2. Image Q4_2.tif was degraded from an original image due to the atmosphere
turbulence given on slide 65 with k = 0.0025. Restore the original image from
the input Q4_2.tif by using full inverse filtering, radially limited inverse
filtering and Wiener filtering. Submit your code and the output images
with file names of Q42_ .m and Q42_ .tif, etc. Discuss how the 学号 学号
parameters, if any, are determined, and the different effects by using the
different algorithms.
Additional question (with additional marks)
3. Restore the original images from the inputs Q4_3_1.tif, Q4_3_2.tif and
Q4_3_3. Submit your code and the output images with file names of
Q431_ .m and Q43 学号 1_ .tif, etc. Explain what method is used to 学号
restore each of the images.
 Discuss the following, but NOT limited to the following:
1. Slide 27 shows the results using contraharmonic filters. Why the algorithms thins
the dark part for Q>0, and thickens the black part for Q<0?
2. Slide 38 shows the results using adaptive local noise reduction filters. A global
variance σଶ
஗ of the image has to be estimated. What’s the effect or what’s the
consequence if the estimated σଶ
஗ is larger than the actual global variance? What if
smaller?
 Send your codes and report to
 11749181@mail.sustc.edu.cn 助教马定妃
 Image files are named accordingly.