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Toward an optimal B-spline wavelet transform for image compression

机译:走向用于图像压缩的最佳B样条小波变换

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We present in this paper a new biorthogonal wavelet transforms using splines performed in a “lifting” manner. Specifically, polynomial splines of different order were used in the lifting constructions. We study the influence of the order of filters using polynomial splines on image compression in order to choose the best wavelet transforms. In addition, a comparative study of these transforms is done firstly with the biorthogonal B9/7 transform which is frequently used in image compression and secondly with the existing B-spline based transforms. We show through experimental results that our proposed wavelet transforms outperform the existing ones in image compression.
机译:我们在本文中提出了一种新的双正交小波变换,它使用以“提升”方式执行的样条曲线。具体地,在提升构造中使用了不同阶的多项式样条。为了选择最佳的小波变换,我们研究了使用多项式样条的滤波器阶数对图像压缩的影响。另外,这些变换的比较研究首先是利用经常在图像压缩中使用的双正交B9 / 7变换进行的,其次是与现有的基于B样条的变换进行的。通过实验结果表明,我们提出的小波变换在图像压缩方面优于现有的小波变换。

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