经验模态分解方法在数字稳像中的应用对比分析

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI:10.1109/ICCIC.2014.7238284

Neha Kottawar, D. J. Tuptewar

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引用次数: 3

摘要

本文对数字稳像(DIS)技术进行了比较分析。为了比较基本经验模态分解(EMD)、改进经验模态分解(EMD)、集成经验模态分解(EEMD)和完全集成经验模态分解(CEEMD)方法。采用全数据驱动的数字稳像方法。通过比较分析，确定了在低均方根误差基础上的DIS最佳EMD版本。用来确定抖动的概念是高频低幅特性。将各种EMD方法与希尔伯特变换相结合进行分析。不同的EMD方法得到了不同的结果，确定了较好的数字稳像方法，并对EEMD和CEEMD方法的参数进行了全局化。

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Comparative analysis of digital image stabilization by using empirical mode decomposition methods

In this paper comparative analysis of digital image stabilization (DIS) is proposed. For comparison purpose Basic Empirical Mode Decomposition (EMD), Improved EMD, Ensemble Empirical Mode Decomposition (EEMD) and Complete Ensemble Empirical Mode Decomposition (CEEMD) methods are considered. Method used for digital image stabilization is of fully data driven approach. With the comparative analysis best version of the EMD for DIS on the basis of low RMSE error is decided. The concept used to determine jitter is high frequency and low amplitude property. Combination of each EMD method and Hilbert Transform is used for the analysis. Various methods of EMD give the different results the better method for digital image stabilization is decided and parameters of EEMD and CEEMD method are globalised.

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2014 IEEE International Conference on Computational Intelligence and Computing Research

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