Supervised and unsupervised subband adaptive denoising frameworks with polynomial threshold function

DOI10.1155/2017/5203214zbMath1426.62272OpenAlexW2594704093WikidataQ59147610 ScholiaQ59147610MaRDI QIDQ1992844

Tierui Gong, Gengshan Wang, Zhijia Yang, Ping Jiao

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/5203214

Mathematics Subject Classification ID

Inference from stochastic processes and spectral analysis (62M15)

Uses Software

• WaveLab

Cites Work

• Unnamed Item
• Estimation of the mean of a multivariate normal distribution
• A new wavelet thresholding function based on hyperbolic tangent function
• Adaptive wavelet thresholding for image denoising and compression
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Image denoising using scale mixtures of gaussians in the wavelet domain
• Ideal spatial adaptation by wavelet shrinkage
• Audio Denoising by Time-Frequency Block Thresholding
• De-noising by soft-thresholding
• Additive White Gaussian Noise Level Estimation in SVD Domain for Images

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