Three novel edge detection methods for incomplete and noisy spectral data

DOI10.1007/s00041-008-9038-9zbMath1181.62153OpenAlexW2095690020MaRDI QIDQ734948

Eitan Tadmor, Jing Zou

Publication date: 14 October 2009

Published in: The Journal of Fourier Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00041-008-9038-9

zbMATH Keywords

image processingfilteringsignal detection

Mathematics Subject Classification ID

Inference from stochastic processes and spectral analysis (62M15) Computing methodologies for image processing (68U10) Signal detection and filtering (aspects of stochastic processes) (60G35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for discrete and fast Fourier transforms (65T50)

Related Items (7)

On reconstruction from non-uniform spectral data ⋮ Sparsity enforcing edge detection method for blurred and noisy Fourier data ⋮ Admissible concentration factors for edge detection from non-uniform Fourier data ⋮ Hypothesis testing for Fourier based edge detection methods ⋮ Iterative design of concentration factors for jump detection ⋮ Detection of edges from nonuniform Fourier data ⋮ Detecting edges from non-uniform Fourier data via sparse Bayesian learning

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