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Call add _ Gnoise ( ) with different levels of noise, such as 5 , 1 0 , 1 5 , and 2 0 .
Call addGnoise with different levels of noise, such as and
Display the original images and their corresponding noisy images. Something like this.
Utilize the function filterimage to apply the three mentioned filters to the noisy images.
Display the Boat noisy image with different levels of noise, and the filtered images as follows only some images are shown here:
Lena Lena Lena Lena
Redo for other cases.
Call addSPnoise
Redo questions and and
Develop a Python function called smoothimage to apply Gaussian smoothing to the original Mandrill image using a kernel size parameter to control the degree of smoothing.
Construct a Python function named laplacesharpening to sharpen the smoothed Mandrill image by applying Laplace sharpening, with a kernel size parameter determining the extent of sharpening.
Present various smoothed and sharpened images, showcasing different parameter values.
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