- Search for an image with bad contrast and
- Create a script in Matlab which will build the histogram of the image.
- Equalize the histogram and represent it together with the new equalized image.
- Convert the initial image into black and white using some threshold.
- Now, using the image "brain.gif"
- Define k1 - scalar number.
- Define k2 = k1 + 3 if k1 = even number or k2 = k1 + 2 if k1 = odd number.
- Implement to the initial image, two median filters, one of size [k1 k1] and one of size [k2 k2].
- Implement to the initial image, two gaussian filters, one of size [k1 k1] and one of size [k2 k2].
- Print the image before and after the implementation of each filter and see the difference.
- We keep working with the image "brain.gif" and
- Implement to the initial image, "salt and pepper" with variance of our choice.
- Try to reduce the noise effect to the image by using the filters, median of size [k1 k1], median of size [k1 k1], average of size [k1 k1] and average [k2 k2].
- Print the image before and after the implementation of each filter and see the difference.