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Solved in 2 steps with 2 images
- Answer Q1&Q2 please. Q)1 Apply the following filters on the given image below showing the final result image andelaborating on the resulting effect.- What will the result be when you use a 3x3 medianfilteron the image below?- What will the result be when you use a 3x3 averagefilteron the image below? The image is already zero-padded. 0 0 0 0 0 0 100 100 100 0 0 90 5 110 0 0 100 110 110 0 0 0 0 0 0 Q)2 You are requested to perform image compression using arithmetic coding. You have 3 possibleletters {a, b, c} and their probabilities are {0.2, 0.4, 0.4}. Decode the following float message {0.13}knowing that the original code was formed of three consecutive letters.Perform region growing based segmentation using N4 neighborhood for threshold value 15 based on the specified starting points (seed point: dark pixel) for the image segment given below. Indicate segmented pixels by painting the tiles black. (Your quick response is important to me, thank you very much in advance.)Which Property Is Used To Set The Width Of An Image Border?
- The averaging filter removes the noise by blurring it till it is no longer seen. But in the process, it also blurs the edges (Bigger the averaging mask more is the blurring. There are times when the image contains salt and pepper noise If we use an averaging filter to remove the same, it will (blur the noise but it would also ruin the edges. In the same contrast explain what is meant by high pass filtering?( 50-60 words) Answer only if you are fully sure.other wise dislike.Hello, I was hoping someone could go in and tell me why my responsive image doesn't work? I have the file in with all my images so it should be able to insert the image in html file.MFC. Consider the following pixel filter: def clamp(pixel): new_r = max(75, min(100, pixel[0])) new_g = max(75, min(100, pixel[1])) new_b = max(75, min(100, pixel[2])) return [new_r, new_g, new_b] What does this do to an individual pixel? What would happen to an image if we used it to edit all the pixels? What would an image look like after it has been edited?
- Use plot_surface to view the convolved images from part 2 in 3D part (2) my_filter=np.ones((15,15))/225impulse=np.zeros((51,51))impulse[25,25]=1.0 plt.subplot(1,2,1)large_square_filter=convolve(impulse,my_filter)plt.imshow(large_square_filter) Graph a 3D plot for the convolved image/image filter using plot_surface.Upload a degraded image and apply the following smoothing filters on it and display the result (You should comment the output for each filtering technique) Box Filter Averaging weighted filter Median FilterWhat will the result be when you use a 3x3 max filter on the image below? - What will the result be when you use a 3x3 min filter on the image below? - What will the result be when you use a 3x3 median filter on the image below? - Describe the visual effect each filter does.
- Explain............. About the filter support arca, an image has 120 x 120 pixels, and a Gaussian filter has a kernel size of Ilxil and sigma = 3.0. Without the input image padding, the filter output image will be of size (a) 120x120 (b) 123x123 (c) 115x115 (d) 117 x 117Q1) True or false - In neighborhood operation for spatial filtering, if a square mask of size n*n is used, it is restrictedthat the center of mask must be at a distance ≥ (n – 1)/2 pixels from image borders. - Contrast stretching increases the dynamic range of gray-level in the image? - Erosion set pixel value to one when the structuring element hits the image. - In morphological processing, structuring elements can be any size and have any shape.We have an image of dimension 32X32X3. We want to collect 16X16X4 features from this image. We want to use a CONV layer of some 5X5 filters, then a POOL layer of 2X2 filter. A) What will the stride, padding, and filter dimensions of the CONV layer? (6)B) What will be the output dimension of the CONV layer? (2)C) What will be the stride, padding of the POOL layer? (4)D) How many parameters do we need for these two layers? (4)E) How many multiplications do we need for these layers? Urgent!!