USING LINEAR FRACTAL INTERPOLATION FUNCTIONS TO COMPRESS VIDEO IMAGES

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Abstract
This paper describes the novel application of using linear fractal interpolation functions (FIFs) to model video signals represented as single-valued discrete-time sequences to compress video images. The problem is data compression of full-motion broadband television signals. The viability of using FIFs to model video signals is shown by modelling test static image frames. Compression ratios, SNRs and compression-decompression times are reported. Extension of this work to compress motion video is described. Finally the images are analysed by calculating and plotting the fractal dimensions of each line in the frame against the line for that image.

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