Exercise 3: Image Filtering

Original Image

Mean Filtering

Kernel 1:

1  1  1

1  1  1

1  1  1

Kernel 2:

-1  -1  -1

-1   8  -1

-1  -1  -1

Kernel 3:

1  2  1

2  4  2

1  2  1

Kernel 4:

1  0  0

0  1  0

0  0  1

Kernel 5:

0  -1   0

-1   5  -1

0  -1   0

Comparison:

• Out of all kernels, kernel 1 produced the smoothest and clearest image. It's color is also closest to the original image.
• Kernel 2 produced the image with most noise. Also it's color changed the most as compared to the other kernels. 
• Kernel 3 produced a somewhat smooth image but the color of the original image changed.
• 4th and 5th kernel resulted in smooth but very dark images. Kernel 5 gave the darkest image out of all.

Median Filtering

Kernel 1:

1  1  1

1  1  1

1  1  1

Kernel 2:

-1  -1  -1

-1   8  -1

-1  -1  -1

Kernel 3:

1  2  1

2  4  2

1  2  1

Kernel 4:

1  0  0

0  1  0

0  0  1

Kernel 5:

0  -1   0

-1   5  -1

0  -1   0

Comparison:

• All images, except kernel 4 and 5, gave good results which is a smooth image.
• Kernel 1 is the most similar to the original image.
• Kernel 2's colors are the most different as compared to the other kernels (image negative)
• Kernel 1 and 2 gave the smoothest results.
• There are still a few grains and noise in kernel 3.
• The original image is no longer visible in kernel 4 and 5. It only resulted in a black image.