MOTION DEBLURR

Abstract

In this project we deblurr an a image i.e improved the quality of the image that has been blurred due to the
motion. Here due to motion blurr the original image gets smoothed as the intensity of a single pixel gets distributed among its
neibhouring pixels as result the image seems to be unclear. DEBLURRING refers to improving and sharpening of the image
quality. The occurance of blurr may be due to the motion of either the object or camera. As the blurred image appears to be
smoothened (as a result of averaging)in order to remove the occurred blurr we need to use an high pass filter which
sharpens the image by attenuating the low frequencies of the Fourier transform relatively unchanged.
Debluring algorithm has been implemented by using Weiner filter. The blurred image is deconvolved using the Weiner filter
to get back the original from the blurred image.
Most of the times many events occur which we cannot get them back to happen such events we try store them as memories.
Events here can be anything like first birthday celebration of a child, when any one gets an award. The easy way to have
such unforgettable events as memories is to store in form of photographs.
Some of those events occur in cases like where there is no proper lightening sufficient brightness and even it occurs a case
when the object is moving if such an event as to be stored as photograph, the photos taken in such conditions will not appear
to be clear such photos are to be processed using digital image processing techniques like contrast improvement, brightness
correction.
In this project we are trying to improve the quality of the image which has been taken when either the object or camera is in
motion, in this case the image appears to be blurred, since that this blur is occurring due to the motion of the camera or
object is known as MOTION BLURRING and we are removing this blur using DEBLURRING technique.