基于样条和类样条函数的双正交小波图像压缩设计

K. Subramanyam, T. Ramasri
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引用次数: 0

摘要

从傅里叶分析中得到启发的小波理论是基于基函数及其性质的。不同的小波使用不同的基函数,可以更好地适应某些应用。基函数的性质及其形状和放大倍数影响着应用程序的性能。标准双正交小波利用样条函数构造。本文首先给出了双正交小波的设计过程。然后提出了一种改进的样条函数。基于所提出的样条函数,设计了三个不同长度的双正交小波。通过对图像进行SPIHT压缩,分析了所提小波的性能。仿真结果表明,与基于标准样条的双正交小波相比,所提小波具有较好的性能。
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Design of Biorthogonal Wavelets based on Spline and Spline-like Functions for Image Compression
Wavelet theory inspired from Fourier analysis is based on the basis function and its properties. Different wavelets use different basis functions which may better suit to some applications. The properties of basis functions along with their shape and magnification effects the performance of an application. The standard biorthogonal wavelets utilize spline functions for their construction. In this paper first the design procedure of biorthogonal wavelets is presented. Then a modified spline function is proposed. Based on the proposed spline function, three biorthogonal wavelets are designed with different length. The performance of proposed wavelets is analyzed by applying them on to images for SPIHT compression. The simulation results shown that the proposed wavelets have performed well compared to that of standard spline based biorthogonal wavelets.
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