Toward an optimal B-spline wavelet transform for image compression

Rania Boujelbene, Y. Jemaa, M. Zribi
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引用次数: 7

Abstract

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.
一种用于图像压缩的最佳b样条小波变换
本文提出了一种新的双正交小波变换,它是用“提升”的方式进行样条变换的。具体来说,不同阶次的多项式样条被用于提升结构。为了选择最佳的小波变换,研究了多项式样条滤波器的阶数对图像压缩的影响。并首先与图像压缩中常用的双正交B9/7变换和现有的基于b样条的变换进行了比较研究。实验结果表明,本文提出的小波变换在图像压缩方面优于现有的小波变换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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