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A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images

Publication Type : Journal Article

Source : Communications in Computer and Information ScienceVolume 1377 CCIS, Pages 50 - 62, 2021

Url : https://www.scopus.com/record/display.uri?eid=2-s2.0-85107387173&origin=resultslist

Campus : Coimbatore

School : School of Engineering

Department : Mathematics

Verified : No

Year : 2021

Abstract : A two-stage variational mode decomposition approach is explored in this article to estimate the variance function in a nonparametric heteroscedastic fixed design regression model. This estimate improves the results obtained by using variational mode decomposition in the case of smooth regression function. We noticed that the amount of improvement is depending on the smoothness of the variance function. Simulations and comparisons with the earlier methods are carried out to evaluate the performance of the proposed method.

Cite this Research Publication : Gokul R., Gokul R, Nirmal A, Dinesh Kumar G, Karthic S. "A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images", Communications in Computer and Information Science, Volume 1377 CCIS, Pages 50 - 62, 2021

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