this presentation is baased on blur and unblur image using matlab in which the original image,, is blurred by programming and than recover it...matlab code is also given

1. Blur and Un-Blur an
Image using Matlab
WAQAR AHMAD (BATCH 15-16)
EE DEPARTMENT
UET JALOZAI

2. INTRODUCTION:
 Deblurring is the process of removing blurring artifacts from
images, such as blur caused by defocus aberration or motion
blur.
 The blur is typically modeled as the convolution of a (point
spread function) with a hypothetical sharp input image, where
both the sharp input image (which is to be recovered) and the
point spread function are unknown.

3. Objective:
 The purpose of this project is to make an
image blur using pre-define 2d filter which
approximate the linear motion of camera.
 The blurred image is then recovered by
applying wiener filter to display the original
image.

4. Matlab Code:
 clear
 close all
 clc
 pic= imread('messi.jpg');
 subplot(1,3,1);
 imshow (pic)
 title('orignal')
 %%
 x=25;
 y=25;
 h= fspecial('motion',x,y);

5. Code cont…
 blur = imfilter(pic,h);
 subplot(1,3,2);
 imshow (blur)
 title('blur')
 %%
 var=0.008;
 recover = deconvwnr(blur,h,var);
 subplot(1,3,3);
 imshow(recover)
 title('recover')

6. Figures:

7. Conclusion:
 In first section we read an image and in second step we
created psf function to create motion and convolved with
original image for blurring.
 At last we recovered the image by de-convolution with
the blurred image.