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一类双正交插值小波的参数化构造及图像编码应用

刘在德1, 常晋义1, 沈钧毅2(1.常熟理工学院计算机科学与工程学院,常熟 215500;2.西安交通大学电子与信息工程学院,西安 710049)

摘 要
研究采用了提升构造参数化的双正交小波类方法,构造了一类仅用一个自由参数表达的双正交插值小波,并推导出了其相关小波滤波器的参数表达式。自由参数为小波的优化设计提供了一个自由度,以编码增益为优化准则,构造出一种新的插值小波,其滤波器系数为二进制分数,可实现非乘法运算的离散小波变换(DWT)。实验结果表明,其图像压缩性能超过在小波变换编码领域中应用最为广泛的9/7小波(CDF-9/7),而且计算复杂度降低了17%以上,因此,在压缩性能和计算复杂度两者之间取得了一个较好的平衡。
关键词
Parameterization Construction of A Class of Biorthogonal Interpolating Wavelets and Their Application to Image Coding

Liu Zaide1, Chang Jinyi1, Shen Junyi2(1.School of Computer Science and Engineering, Changshu Institute Of Technology,Changshu 215500;2.School of Electronics and Information Engineering, Xi'an Jiaotong University,Xi'an 215500)

Abstract
This paper depicts how to construct parametric biorthogonal wavelet family via lifting scheme, and gives the complete construction of a new class of parametric biorthogonal interpolating wavelets with one parameter. The exact parameter expressions of their associated interpolating filter banks are also derived. The free parameter provides a degree of freedom to optimize the resulting wavelets, and a previously unpublished interpolating wavelet is obtained with respect to the coding gain criteria, which has binary filter coefficients and can realize a multiplication free discrete wavelet transform(DWT). Simulations show that the new wavelet has exhibited image compression performance superior to the most widely used 9/7 tap wavelet by Cohen et al. in the field of wavelet transform coding, yet its computational complexity has decreased by more than 17%. This indicates a better tradeoff between compression performance and computational complexity.
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