For an image represented by a given large 3d numpy array, use numpy to get a neighborhood filter using the mean of the pixels. For example, look through each of the image’s 3×3 window of pixels and replace outlier pixels with the mean value of the others in the 3×3 window. Set the resulting pixel value to be the mean value of a pixel and its eight neighbors. For pixels on an

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A: The shape of "c" is (2,3)

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A: Given:   Input image size(WxH) = 140x140  Filter kernel size(F) = 20x20

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A: solution : ======================================================= Figure 1:

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A: (3,2)

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A: The answer is

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A: BELOW ? STEP BY STEP COMPLETE PROGRAM AND SCREENSHOT OF OUTPUT :

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A:

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Q: An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then…

A: The Answer is in Below Steps

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A: Hello student

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A: HI THEREI AM ADDING ASNWER BELOWPLEASE GO THROUGH ITTHANK YOU

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