M. Ali, C. Papadopoulos, T. Clarkson. The use of fractal theory in a video compression system. In Proceedings DCC'92 Data Compression Conference, J. A. Storer, M. Cohn (eds.), 1992.
This paper describes how Fractal Coding Theory may be applied to compress video images using an image resampling sequencer (IRS) in a video compression system on a modular image processing system. The first part of the paper describes the background theory of image coding using a form of fractal equation known as Iterated Function System (IFS) codes. The second part deals with the modular image processing system on which to implement these operations. The third part briefly covers how IFS codes may be calculated. Finally, how the IRS and 2 nd order geometric transformations may be used to describe inter-frame changes to compress motion video.
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@InProceedings{AlPaCl92,
Author = {Ali, M. and Papadopoulos, C. and Clarkson, T.},
Title = {The use of fractal theory in a video compression system},
BookTitle = {Proceedings DCC'92 Data Compression Conference},
editor = {Storer, J. A. and Cohn, M.},
Publisher = {IEEE Comp. Soc. Press},
Year = {1992}
}