An on-line orthogonal wavelet denoising algorithm for high-resolution surface scans

DOI10.1016/j.jfranklin.2017.05.042zbMath1404.94006OpenAlexW2737518536MaRDI QIDQ1634459

Paolo Mercorelli, Manuel Schimmack

Publication date: 18 December 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.05.042

zbMATH Keywords

orthogonal wavelet denoising algorithmscanning probe microscopy surface images

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Wavelet matrix operations and quantum transforms ⋮ A structural property of the wavelet packet transform method to localise incoherency of a signal

Uses Software

• WaveLab

Cites Work

• Neural-network-based decentralized fault-tolerant control for a class of nonlinear large-scale systems with unknown time-delayed interaction faults
• Utilization of discrete transforms to conquer the problems of multi-tone systems
• Biorthogonal wavelet trees in the classification of embedded signal classes for intelligent sensors using machine learning applications
• Ten Lectures on Wavelets
• Minimum Risk Wavelet Shrinkage Operator for Poisson Image Denoising
• De-noising by soft-thresholding
• Noise Level Estimation Using Haar Wavelet Packet Trees for Sensor Robust Outlier Detection

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