A tree of median pyramidal decompositions with an application to signal denoising

V. Melnik, K. Egiazarian, I. Shmulevich, P. Kuosmanen
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引用次数: 2

Abstract

We propose to generate a library of median pyramidal decompositions organized as a tree. It is shown that the best decomposition on this tree can be chosen using the techniques developed in wavelet theory. Based on the tree of decompositions, a denoising algorithm is introduced. Numerical simulations have shown that the proposed algorithm is more effective for signal denoising than the method based on the traditional median pyramidal transform.
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中值金字塔树分解及其在信号去噪中的应用
我们建议生成一个以树的形式组织的中位金字塔分解库。结果表明,利用小波理论中发展的技术,可以在该树上选择最佳分解。介绍了一种基于分解树的噪声去噪算法。数值仿真结果表明,该算法比传统的中值金字塔变换方法对信号去噪更有效。
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