MEDICAL IMAGING AND IMAGE PROCESSING

8. 8. Figure shows pixel values of grayscale image where the input is greyscale intensities (o normalized to 0 to 1. By using the given dither matrix as compute the output 3 1 pixels value after dithering. 0.66 0.18 0.03 0.19 0.54 0.13 0.56 0.37 0.700.99 0.88 0.46 0.67 0.17 0.67 0.98 9. Draw the dithered image based on the pixel given from the image below with the pattern mask given as follow: [O 2] [3 1] lololold 0 55 200 155 255 200 100 200 255 255 128 100 200 155 255 100 128 200 155 255 128 0 110 200 155 255 128 0 155 200 200 255 | 155 0 155 200 155 255 | 155 075 200 155 255 128 10. Based on the image given in Q7, do the dithering process by using (1) random dithering with random number 175 and (ii) error-difussion dithering algorithm. 8. 8. Figure shows pixel values of grayscale image where the input is greyscale intensities (o normalized to 0 to 1. By using the given dither matrix as compute the output 3 1 pixels value after dithering. 0.66 0.18 0.03 0.19 0.54 0.13 0.56 0.37 0.700.99 0.88 0.46 0.67 0.17 0.67 0.98 9. Draw the dithered image based on the pixel given from the image below with the pattern mask given as follow: [O 2] [3 1] lololold 0 55 200 155 255 200 100 200 255 255 128 100 200 155 255 100 128 200 155 255 128 0 110 200 155 255 128 0 155 200 200 255 | 155 0 155 200 155 255 | 155 075 200 155 255 128 10. Based on the image given in Q7, do the dithering process by using (1) random dithering with random number 175 and (ii) error-difussion dithering algorithm