1. [5 points] Fill in the empty table (below-right) with the resulting image obtained after convolution of the original image (bottom-left image) with the following approximation of the derivative filter [1,0, -1] in the horizontal direction. Assume that the image is zero padded. The origin is located at the top-left corner with coordinates [0,0]. This question is to be done by hand; use fprintf() in MATLAB to output your response. -5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 7 0 0 0 0 0 0 0 0 2 1 3 - 1 1 0 0 0 0 1 1 1 - 1 2 0 0 1 1 1 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 5 0 0 0 -1 0 0 0 4000 0 0 0 0 0 0 0 0 0 -1 3 0 0 0 0 0 0 2. [5 points) Compute the gradient magnitude at pixels [2, 3], [4,3] and [4,6] in the left image in Q1.1 (the image pixels marked in bold). Hint: Assume the same derivative filter approximation used for the horizontal direction is used for the vertical direction. Use fprintf() in MATLAB to output your response