For the following 8-bit grayscale image matrix: 107, 82, 57, 87, 244, 48, 159, 225, 195, 139, 73, 232, 7, 166, 110, 9. Calculate the output produced if the 3 x 3 Gaussian kernel de... For the following 8-bit grayscale image matrix: 107, 82, 57, 87, 244, 48, 159, 225, 195, 139, 73, 232, 7, 166, 110, 9. Calculate the output produced if the 3 x 3 Gaussian kernel defined below were applied centered at coordinate (2, 3). Round any answer to be in the natural numbers and round .5 upwards. Kernel: k = [[1/16, 1/8, 1/16], [1/8, 1/4, 1/8], [1/16, 1/8, 1/16]].

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Understand the Problem

The question is asking to calculate the output of a 3x3 Gaussian kernel applied to a specific pixel coordinate in an 8-bit grayscale image matrix. It requires matrix convolution and rounding the output to the nearest integer upwards.

Answer

The output produced is $150$.
Answer for screen readers

The output produced is $150$.

Steps to Solve

  1. Identify the relevant pixel values

Extract the pixel values from the 8-bit grayscale image matrix at the coordinate (2, 3) and the surrounding pixels. The relevant 3x3 section of the matrix is:

[ 57,  87, 244 ]
[159, 225, 195 ]
[110,   9, 166 ]
  1. Set up the convolution equation

The convolution of the pixel values with the Gaussian kernel is calculated using the formula:

$$ \text{Output} = \sum_{i=0}^{2} \sum_{j=0}^{2} \text{Pixel}(i,j) \times \text{Kernel}(i,j) $$

  1. Compute the output using the Gaussian kernel

Substituting the pixel values and the kernel into the convolution equation:

  • For kernel $k = [[1/16, 1/8, 1/16], [1/8, 1/4, 1/8], [1/16, 1/8, 1/16]]$, calculate each contribution:

[ \begin{aligned} \text{Output} = & \left( 57 \times \frac{1}{16} \right) + \left( 87 \times \frac{1}{8} \right) + \left( 244 \times \frac{1}{16} \right) \ & + \left( 159 \times \frac{1}{8} \right) + \left( 225 \times \frac{1}{4} \right) + \left( 195 \times \frac{1}{8} \right) \ & + \left( 110 \times \frac{1}{16} \right) + \left( 9 \times \frac{1}{8} \right) + \left( 166 \times \frac{1}{16} \right) \ \end{aligned} ]

Calculating each term:

  • $57 \times \frac{1}{16} = 3.5625$
  • $87 \times \frac{1}{8} = 10.875$
  • $244 \times \frac{1}{16} = 15.25$
  • $159 \times \frac{1}{8} = 19.875$
  • $225 \times \frac{1}{4} = 56.25$
  • $195 \times \frac{1}{8} = 24.375$
  • $110 \times \frac{1}{16} = 6.875$
  • $9 \times \frac{1}{8} = 1.125$
  • $166 \times \frac{1}{16} = 10.375$

Adding these together:

$$ 3.5625 + 10.875 + 15.25 + 19.875 + 56.25 + 24.375 + 6.875 + 1.125 + 10.375 = 149.6875 $$

  1. Round to the nearest integer upwards

To round $149.6875$ to the nearest integer upwards, we get $150$.

The output produced is $150$.

More Information

The Gaussian kernel is used in image processing to blur an image, reducing noise and detail. The process of convolution applies the kernel over the specified pixel and its neighbors to calculate the new intensity value.

Tips

  • Not centering the kernel correctly at the specified pixel.
  • Forgetting to consider the proper pixel values in the surrounding area.
  • Miscalculating the contributions from the kernel or incorrect summation of terms.

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