An adaptive parameterized block-based singular value decomposition for image de-noising and compression

DOI10.1016/j.amc.2012.03.070zbMath1250.65041OpenAlexW2070019795MaRDI QIDQ450256

J. Herrera, D. Rodríguez-Gómez

Publication date: 13 September 2012

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2012.03.070

zbMATH Keywords

numerical resultssingular value decompositionimage compressionimage filteringimage denoisingpeak signal to noise ratio parameter

Mathematics Subject Classification ID

Numerical solutions to overdetermined systems, pseudoinverses (65F20) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

PACF: a precision-adjustable computational framework for solving singular values

Cites Work

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• Ideal spatial adaptation by wavelet shrinkage
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Statistical analysis of effective singular values in matrix rank determination
• De-noising by soft-thresholding

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