2. Summary
• Choose an image (showed in figure 1), and then add noise to the
image. The noise must have the following characteristics:
– 20% impulse noise (showed in figure 2).
– Gaussian noise with mean = 0 and variance = 0.05 (showed in figure
3).
• Simulate a horizontal script in the original image (showed in figure
4).
• Display the resulting image in parts (1) and (2).
• Smooth the noisy images using the most suitable filter.
– Filter pepper & salt noisy image (Figure 2) using median filter (showed
in figure 5).
– Filter Gaussian noisy image (Figure 3) using average filter (showed in
figure 6).
– Filter Scratch noisy image (Figure 4) using vertical median filter
(showed in figure 7).
• Display the smoothed images
3. Fig 1 original image Fig 2 image with impulse noise
Fig 3 image with Guassian noise Fig 4 image with horizontal scratch
4. Fig 6 Guassian noisy image
Fig 5 impulse noisy image
with mean filter
with median filter
Fig 7 scratch noisy image
with vertical median filter
