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首页> 外文会议>International Workshop on Intelligent Computing in Pattern Analysis/Synthesis(IWICPAS 2006); 20060826-27; Xi'an(CN) >Parametrization Construction of Integer Wavelet Transforms for Embedded Image Coding
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Parametrization Construction of Integer Wavelet Transforms for Embedded Image Coding

机译：整数小波变换用于嵌入式图像编码的参数化构造

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摘要

The Integer Wavelet Transform (IWT) has proved particularly successful in the area of embedded lossy-to-lossless image coding. One of the possible methods to realize the IWT is the lifting scheme. Here we construct a new class of IWTs parameterized simply by one free parameter, which are obtained by introducing a free variable to the lifting based factorization of a Deslauriers-Dubuc interpolating filter. The exact one-parameter expressions for this class of IWTs are deduced and different IWT can be easily obtained by adjusting the free parameter. In particular, several IWTs with binary coefficients are constructed. Extensive experiments show, as compared with some state-of-the-art IWTs, that our transforms have more superior compression performance for both lossless and lossy image coding, and yet require only comparable computational complexity. Besides, a quantization method suitable for IWT is also discussed in this paper.
机译：事实证明，整数小波变换（IWT）在嵌入式有损到无损图像编码领域特别成功。实现内河运输的一种可能方法是提升方案。在这里，我们构造了一个新的一类简单地通过一个自由参数进行参数化的内河运输，这是通过将一个自由变量引入Deslauriers-Dubuc插值滤波器的基于提升的因式分解而获得的。推导出此类IWT的确切一参数表达式，并通过调整自由参数可以轻松获得不同的IWT。特别地，构造了几个具有二进制系数的IWT。与一些最新的IWT相比，广泛的实验表明，我们的变换对于无损和有损图像编码均具有更出色的压缩性能，但仅需要相当的计算复杂性。此外，本文还讨论了一种适用于内河运输的量化方法。

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