Lossless acceleration of fractal image encoding via the fast Fourier transform
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In fractal image compression the encoding step is computationally expensive. We present a new technique for reducing the encoding complexity. It is lossless, i.e., it does not sacrifice any image reconstruction quality for the sake of speedup. It is based on a codebook coherence characteristic of fractal image compression and leads to a novel application of the fast Fourier transform-based cross correlation. The proposed method is particularly well suited for use with highly irregular image partitions for which most traditional (lossy) acceleration schemes lose a large part of their efficiency. For large ranges our approach outperforms other currently known lossless acceleration methods.
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HARTENSTEIN, Hannes, Dietmar SAUPE, 2000. Lossless acceleration of fractal image encoding via the fast Fourier transform. In: Signal processing: image communication : theory, techniques & applications. 2000, 16(4), pp. 383-394. ISSN 0923-5965. eISSN 1879-2677. Available under: doi: 10.1016/S0923-5965(00)00003-5BibTex
@article{Hartenstein2000Lossl-42222, year={2000}, doi={10.1016/S0923-5965(00)00003-5}, title={Lossless acceleration of fractal image encoding via the fast Fourier transform}, number={4}, volume={16}, issn={0923-5965}, journal={Signal processing: image communication : theory, techniques & applications}, pages={383--394}, author={Hartenstein, Hannes and Saupe, Dietmar} }
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