Question: Q1: Implement the 'Gaussian Blur algorithm for smoothing (filtering noise) in MATLAB/C++/Python/Java, test and compare the results. Here is the step by step procedure. Create
Q1: Implement the 'Gaussian Blur algorithm for smoothing (filtering noise) in MATLAB/C++/Python/Java, test and compare the results. Here is the step by step procedure. Create the Gaussian kernel. You can use the following equation to create 'Gaussian Kernel'. G = 22 -101 X-101 -1 0 1 -1-1-1 YO 0 * Convolve the sample image by created Gaussian kernel in step (i). Calculate Img (smooth)=G* 0 Where 'Img (smooth)' is the blurred/smooth image after multiplying the kernel 'G' with original image 'O'. [Important: The sample image can be any of your 'favorite image'. Feel free to use any suitable value of 'o' and size of kernel, e.g., 3*3 or 5* 5)
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