Digital multimedia has changed the way we view computers.
For example, the emergence of digital multimedia has brought
DVD players to our home theaters, transformed our computers
into media centers, and has allowed us to take our media with
us in our handheld devices. Multimedia applications are part
of the driving force behind the development of third and fourth
generation wireless networks.
Our project aims to examine one of the technologies that
have been key to this digital revolution, digital video compression.
The most recognizable consumer application is DVD video. On
a DVD disc a movie is stored digitally as a string of ones
and zeros. Video compression algorithms, such as MPEG, use
various signal processing and video processing techniques
to reduce the storage space needed to represent a movie while
maintaining the highest quality possible.
In search of a better solution, we have created a video compression
algorithm that is superior to today’s mainstream formats.
The key is ‘Wavelets’. Most current video compression techniques
rely on the discrete cosine transform (DCT). By dropping the
DCT and using wavelets we have been able to produce a better
video compression system. Compared to current video compression
algorithms, our encoder can produce movies with higher quality
and smaller storage size.
Video compression algorithms based on wavelets have many
advantages over their DCT counterparts. By moving to wavelets
current digital video applications can be made more efficient
and new applications, which are currently unattainable, will