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Abstract
This paper presents an image coding technique that combines properties of fractal coders and wavelet transforms, where self-similarities among wavelet subtrees are used for representing similar regions at different resolutions in the image. The highpass filter coefficients are coded by fractal method, the lowpass filter coefficients are coded through in a near lossless manner, and consequently we achieved good image compression quanlity at very high compression ratios.
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Article Details
Issue: Vol 7 No 4&5 (2004)
Page No.: 14-20
Published: May 30, 2004
Section: Article
DOI: https://doi.org/10.32508/stdj.v7i4&5.3190
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Huu Anh, N., & Trung Hieu, H. (2004). FRACTAL IMAGE COMPRESSION BASED ON COEFFICIENTS OF WAVELET TRANSFORM. Science and Technology Development Journal, 7(4&5), 14-20. https://doi.org/https://doi.org/10.32508/stdj.v7i4&5.3190
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