G. Melnikov, A. Katsaggelos. A non uniform segmentation optimal hybrid fractal/DCT image compression algorithm. In Proc. ICASSP-98, Seattle, Washington, May 1998.
In this paper a hybrid fractal and Discrete Cosine Trans-form (DCT) coder is developed. Drawing on the ability of DCT to remove inter-pixel redundancies and on the ability of fractal transforms to capitalize on long-range correlations in the image, the hybrid coder performs an optimal, in the Rate-Distortion sense, bit allocation among coding param-eters. An orthogonal basis framework is used within which an image segmentation and a hybrid block-based transform are selected jointly. A Lagrangian multiplier approach is used to optimize the hybrid parameters and the segmen-tation. Differential encoding of the DC coefficient is em-ployed, with the scanning path based on a 3rd-order Hilbert curve. Simulation results show a significant improvement in quality with respect to the JPEG standard.
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@InProceedings{MeKa98,
Author = {Melnikov, G. and Katsaggelos, A.},
Title = {A non uniform segmentation optimal hybrid fractal/DCT image compression algorithm},
BookTitle = {Proc. ICASSP-98},
Address = {Seattle, Washington},
Month = {May},
Year = {1998}
}