Histograms and Random Noise

1. Obtain the histograms of the three images you identified in HW #1 - Part I. (Histograms should have 256 brightness levels along the horizontal axis and, frequency of occurrence of each of the brightness levels along the vertical axis. 2. Comment on the differences in the histograms of the three images, and explain the differences in distributions. 3. Select a threshold values to convert the images into a binary images using their respective histogram. Justify your selections. 4. Select two threshold values for each image to convert the images into three gray levels. Justify your selection of threshold values from the histogram. 5. Obtain a binary image using the threshold value in 3 for ONE OF THE IMAGES. Comment on your results. 6. Obtain a 3-gray-level image for the same image in 5. using the threshold values identified in 4. Comment on your results. 7. Produce a noise image with normally distributed noise with sigma = 0.1. Plot the noise image. 8. Produce a noise image with normally distributed noise with sigma 0.5. Plot the noise image. 9. Add the noise generated in 7. and 8. to your original three images SEPARATELY. Comment on the resuls. 1. Obtain the histograms of the three images you identified in HW #1 - Part I. (Histograms should have 256 brightness levels along the horizontal axis and, frequency of occurrence of each of the brightness levels along the vertical axis. 2. Comment on the differences in the histograms of the three images, and explain the differences in distributions. 3. Select a threshold values to convert the images into a binary images using their respective histogram. Justify your selections. 4. Select two threshold values for each image to convert the images into three gray levels. Justify your selection of threshold values from the histogram. 5. Obtain a binary image using the threshold value in 3 for ONE OF THE IMAGES. Comment on your results. 6. Obtain a 3-gray-level image for the same image in 5. using the threshold values identified in 4. Comment on your results. 7. Produce a noise image with normally distributed noise with sigma = 0.1. Plot the noise image. 8. Produce a noise image with normally distributed noise with sigma 0.5. Plot the noise image. 9. Add the noise generated in 7. and 8. to your original three images SEPARATELY. Comment on the resuls