Finding the right wavelet for image compression: on the relevance of criteria

T. Buschgens, F. Hartenstein
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引用次数: 1

Abstract

Finding the right wavelet is a crucial problem in wavelet-based image compression. Several criteria for choosing the right wavelet have been presented during the last years, but have never been evaluated together under equivalent conditions. We review some of them, present one additional criterion, the shift variance of compressed impulses, and show the results of an extensive evaluation using parameterized orthonormal wavelet filters of lengths 4, 6 and 8. We can show that under these conditions only few of the proposed criteria prove relevant.
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为图像压缩寻找合适的小波:关于标准的相关性
在基于小波的图像压缩中,寻找合适的小波是一个关键问题。在过去的几年中,人们提出了几种选择正确小波的标准,但从来没有在等效条件下一起进行评估。我们回顾了其中的一些,提出了一个额外的准则,即压缩脉冲的移位方差,并展示了使用长度为4,6和8的参数化正交小波滤波器进行广泛评估的结果。我们可以证明,在这些条件下,只有少数提出的标准是相关的。
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