IMAGE DE-NOISING USING DOUBLE DENSITY WAVELET TRANSFORM BASED ADAPTIVE THRESHOLDING TECHNIQUE

DOI10.1142/S0219691305000701zbMath1104.68811MaRDI QIDQ5695197

V. Sadasivam, D. Gnanadurai

Publication date: 11 October 2005

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

zbMATH Keywords

peak signal-to-noise ratio

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 (4)

WEAK LFM SIGNAL DECTECTION BASED ON WAVELET TRANSFORM MODULUS MAXIMA DENOISING AND OTHER TECHNIQUES ⋮ LOCALLY ADAPTIVE MULTISCALE BAYESIAN METHOD FOR IMAGE DENOISING BASED ON BIVARIATE NORMAL INVERSE GAUSSIAN DISTRIBUTIONS ⋮ IMAGE DENOISING BASED ON THE DYADIC WAVELET TRANSFORM AND IMPROVED THRESHOLD ⋮ Conservative Scale Recomposition for Multiscale Denoising (The Devil is in the High Frequency Detail)

Uses Software

• Unnamed Item

Cites Work

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• Spatially adaptive wavelet thresholding with context modeling for image denoising
• A generalization of median filtering using linear combinations of order statistics
• The wavelet transform, time-frequency localization and signal analysis
• Ten Lectures on Wavelets
• Wavelet Thresholding via A Bayesian Approach
• Ideal spatial adaptation by wavelet shrinkage
• De-noising by soft-thresholding

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