3 April 1997 Fast image coding of interval interpolating wavelets
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Proceedings Volume 3078, Wavelet Applications IV; (1997); doi: 10.1117/12.271723
Event: AeroSense '97, 1997, Orlando, FL, United States
Abstract
We present the interval interpolating wavelet transform for fast image compression. Comparing with the common used wavelet coding, this method is more systematically stable, with less computing complexity and the inherent parallel processing. In theory, it has the nearly optimal minimax compression characteristics. The simulation shows that the interval interpolating wavelet transform are more qualified and remove the artificial blocking effects. The interval wavelet is introduced to deal with the boundary points of the finite localized image. This method does not only improve the compress rate, but also deletes the quantization aliasing of the boundary pixels.
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Zhuoer Shi, Zheng Bao, "Fast image coding of interval interpolating wavelets", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271723; https://doi.org/10.1117/12.271723
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KEYWORDS
Wavelets

Image compression

Wavelet transforms

Parallel processing

Quantization

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