Develop a code for Gaussian -Filter
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- Q3: Apply the Mean-Filter to the following image 3 1 10 14 7 13 7 7 mO77 27744 159 66Q3: Apply the Mean-Filter to the following image 1 2 3 4 7 1 10 7 7 14 6 4 7 3 13 6 4 7 7 Given that the Mean-Filter Kernel is: 1 2 1 2 5 2 1 2 1 Develop a code for Mean-Filter ON 59Complete the transititon function in the image:
- Perform histogram equalization on the following 6*6 image the gray scalelevel distribution of the image is given belowFor an image of size 32x32 and a filter of size 5x5, if you want the convolution result to keep the original image size, what's the padding size in pixels? a) 5 b) 2 c)10 d) 3 explain.8- 1 2 3 Gaussian Kernel 12 22 15 14 20 1 12 17 22 1 24 0.0275 0.1102 0.0275 13 33 24 27 24 0.1102 0.4421 0.1102 14 16 30 33 23 0.0275 0.1102 0.0275 16 12 39 43 22 5 17 12 34 34 12 If you apply Gaussian Smoothing Filter to the above image, what are the approximate values for the following pixels: IMG(2,1) IMG(3,2) IMG(3,3) Hint: pixles oreder is IMG(y,x) a) O 29 - 33 - 31 b) 24 29 - 31 O 24 - 31 29 - d) O 21 - 22 - 31 O Boş bırak 4- 2. 3. 4-
- 13) What does a NOT operation do to the appearance of an image? Perform the NOT operation to this random gray-level image: -150 105 145 75 80 45 50 67 80 130 123 40 37 20 250 23 65 95 220 22 L200 150 255 110 145¹Observe the following image matrix. Note that this is 4-bits grayscale image. Identify the following items: 11 10 12 13 10 11 15 15 15 11 15 12 10 10 12 12 10 13 11 15 15 12 12 10 11 12 11 15 11 15 14 12 10 14 11 12 10 11 10 11 12 11 10 12 14 13 10 10 11 11 11 11 12 12 14 14 11 11 11 11 14 14 13 13 14 13 11 11 10 13 15 15 11 13 12 15 14 10 12 11 10 14 14 14 11 11 11 11 15 15 11 11 11 15 11 11 11 15 (a) Intensity Level Resolution bits/pixel (b) Spatial Resolution pixel (c) Memory size required to store the image bits (d) Memory size of colour image (RGB) with the similar specification as the mentioned grayscale image bits 5N2N 455. Consider the following 8x8 image: F5= 242 43 193 38 89 20 158 172 189 239 91193 127 155 178 55 2268 141 223 65 138 70 60 152 224 226 128 130218 1072 175 133 214 145 20 163 93 185 99 206 62 217 14 69 20 143 56 114 111 251 161 27 17 140 33 88 211 201 157 15 30 189 Threshold it at level = 109. What happens to the results of thresholding as the threshold level is increased?
- Consider the following 8-bit greyscale image: 12 12 12 59 179 254 254 254 12 12 12 59 179 254 254 254 12 12 12 59 179 254 254 254 12 12 12 59 179 254 254 254 Compress the image using Huffman coding. Hint: construct the Huffman table and encode the image scanlines using the table entries.Determine the comparator code for the image below. S. &. EN &. R.The issue: You are programming a graphics filter that filters each individual picture. The definition of a pixel is a triplet of real integers (R, G, and B), each of which ranges from 0 to 255. For the filtering methods to function properly, real numbers must be used. However, after looking at the software, you find that they only require two digits of accuracy. Any extra numbers are just unnecessary.