Pixel wise Image Blurring and Deblurring using Matlab programming
Blurring can be said as changing the intensity of pixels of image or modifying the pixels of image. Such modification can lead to blurring, contrasting and noised image. Filter blur is one of the most used approach for blurring the image. In this approach image is blurred by using Laplacian of Gaussian filter Matlab. Window size of filter is selected and same filter size of image is also chosen and both matrix are multiplied. This has been implemented using MATLAB programming and GUI is also developed for the same. From the multiplication operation intensity values are added and replaced with the particular coordinates of the image. Restore image is achieved by reverse engineering and defective/ blurred pixels of the image are identified and replaced with same set of exact pixels from the original image. In this way image deblurring is achieved. Laplacian of Gaussian filter has main two components namely standard deviation and a matrix which can be either scalar or vector. This is the matrix/filter which is responsible for blurring the image or in achieving the modification of pixel values of the subject under consideration (image)
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Now Let us see the implementation part using Matlab. I have used global approach for memory optimization.
Input the image in GUI.
You can look at the laplacian of Gaussian and how it blur the image.
Deblurring the imaging by replacing only the blurred pixel with the right pixels.
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