RATE/DISTORTION PERFORMANCE OF FRACTAL TRANSFORMS FOR IMAGE COMPRESSION

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Abstract
We study the fidelity/compression performance of fractal image coding, and evaluate the merits or otherwise of a number of complexity options. We can first of all choose a quantization scheme for the transmission of coefficients which limits the code alphabet, according to permissible degradations. This alphabet can then be entropy coded to eliminate redundancy so that the compression efficiency of a range of implementation options can be studied and related to objective and subjective measures of degradation. We find rotations and reflections of little value. A limited degree of searching may be of benefit within image regions of high edge value, but in general more is gained by using a higher order fractal function than by searching.

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