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

Abstract

Edges and textures are important features in texture analysis that helps to characterize an image. Thus, the edges and textures must be retained during the process of denoising. In this paper, we present a combined wavelet decomposition and Variational Mode Decomposition (VMD) approach to effectively denoise texture images while preserving the edges and fine-scale textures. The performance of the proposed method is compared with that of wavelet decomposition, VMD and a combined VMD-WT technique. Although VMD-WT outperforms VMD and wavelet decomposition, it is highly dependent on the choice of parameters. The proposed method overcomes the above limitation and also performs better than wavelet decomposition and VMD.

Biopolymers-Clay Nanocomposites: Synthesis Pathways, Properties, and Applications

“…This is influenced by factors such as thermal decomposition temperature and rate [75]. In a study conducted by Kumar and Babu [76], it was found that the thermal stability of polymeric materials, such as polylactic acid (PLA), can be enhanced through the incorporation of silicate layers, specifically montmorillonite. Improving the ability to withstand tensile and impact stress, while also considering factors such as glass transition temperature (T g ), thermal conductivity (T C ), and melting point (T m ).…”