Resumen:
The regular growth of the technological facilities lead us daily to handle a large amount of information which
must be stored, the size of the information is very important because when is larger, the cost of transmission or
storage is higher. That is why it is very important to find some kind of technique or process that allows us to
compress the information. This work is about image compression, we use Wavelet transforms, which are a
relatively recent development in both pure and applied mathematics. In order to understand the use of this
transform, I have developed an educational tool, using the MATLAB software to compare and understand the use
of different types of wavelet transform in compression of grayscale images, and then to see its usefulness to reduce
noise in images. The program takes an image, makes it grayscale and presents different options for image
compression. Then you can add various types of noise to the original image, and then to remove noise using
wavelet transform.
