@inproceedings{Gerry1998c,
abstract = {In this paper a hybrid fractal and discrete cosine transform (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 parameters. 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 segmentation. Differential encoding of the DC coefficient is employed, 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. {\textcopyright} 1998 IEEE.},
author = {Melnikov, Gerry and Katsaggelos, A.K.},
booktitle = {Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)},
doi = {10.1109/ICASSP.1998.678048},
isbn = {0-7803-4428-6},
issn = {15206149},
pages = {2573--2576},
publisher = {IEEE},
title = {{A non uniform segmentation optimal hybrid fractal/DCT image compression algorithm}},
url = {http://ieeexplore.ieee.org/document/678048/},
volume = {5},
year = {1998}
}

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