ECE 208 Signals and Systems Project Deadline:03.06.2016 Objective: This project is related with image processing. There are some noisy pictures. You must apply noise reduction techniques to your picture in order to obtain original image. Everyone deals with only one picture. The pictures are divided according to your student ID (see table). You must write a MATLAB code for noise reduction. An example code is below. The pictures have four different noises with different levels.
Gaussian, Poisson, Salt & pepper, Speckle.
You can use MATLAB image filters (http://www.mathworks.com/help/images/linearfiltering.html) You must save your output image as jpg file and send with your report and code. There will be no hardcopy. You must send your project to ugstorage06@gmail.com, Your mail header (subject line) should be in the format ECE_208_Project_yourname_yourstudentID. Example code: The following code is written for MATLAB 2012, if you use a different version, you should modify the commands according to your version. ----------------------------------------------------------------------------------------------------------------% Example code % read image if necessary, put path of image I = imread('nresim8.jpg');
% put your noise reduction method here %this is example filter J=filter2(fspecial('average',3),I)/255; % show noised image figure, imshow(I) % show noise reduction output figure, imshow(J) % write your noise reduction output as jpg, you must sent this jpg file imwrite(J,'resim8.jpg')
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Assoc. Prof. Dr. Hüseyin Canbolat
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Student ID 1205021043 1205024001 1305021001 1305021004 14050511020 14050511024 15050521002 15050521003 15050541013 15050551021 15050551034 15050551035 15050551041 15050551055 15050551063 15050551070 15050551073 15050551074 15050551075 15050551076 15050551077 15050551078 15050551079 15050551080 15050551081 15050551084 15050551085 15050551086 15050551087 15050551088 15050551089 15050551090 15050551091 15050551092 15050551094 15050551095 15050551096 15050551097 15050551099 15050551100 15050551101 15050551102 15050551103
EE208 Project Picture Student ID resim7 1105022002 resim8 1205022004 resim1 1305022001 resim2 1305022040 resim9 15050552009 resim3 15050552017 resim4 15050552018 resim10 15050552021 resim1 15050552022 resim10 15050552024 resim8 15050552034 resim7 15050552035 resim7 15050552040 resim8 15050552047 resim4 15050552050 resim4 15050552052 resim5 15050552056 resim10 15050552057 resim5 15050552062 resim7 15050552063 resim3 15050552065 resim8 15050552070 resim7 15050552072 resim5 15050552074 resim10 15050552075 resim1 15050552077 resim7 15050552078 resim8 15050552079 resim5 15050552081 resim8 15050552082 resim8 15050552083 resim4 15050552085 resim7 15050552086 resim3 15050552088 resim7 15050552091 resim9 15050552092 resim2 15050552093 resim5 15050552094 resim8 15050552095 resim9 15050552096 resim2 15050552097 resim3 15050552098 resim1 15050552099
Picture resim1 resim9 resim7 resim3 resim3 resim10 resim9 resim8 resim7 resim6 resim9 resim8 resim2 resim9 resim2 resim9 resim9 resim2 resim8 resim7 resim3 resim10 resim7 resim5 resim6 resim8 resim2 resim6 resim9 resim9 resim6 resim8 resim5 resim4 resim3 resim6 resim7 resim10 resim3 resim9 resim4 resim8 resim5
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15050551104 15050551105 15050551106 15050551107 15050551113 15050551119
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15050552100 15050552102 15050552103 15050552104 15050552105 15050552107 15050552108 15050552109 15050552110 15050552111 15050552116
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