Iterative design of concentration factors for jump detection
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Publication:454332
DOI10.1007/s10915-011-9524-0zbMath1258.94020OpenAlexW2091553596MaRDI QIDQ454332
Douglas Cochran, Anne Gelb, Adityavikram Viswanathan
Publication date: 1 October 2012
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-011-9524-0
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Fourier coefficients, Fourier series of functions with special properties, special Fourier series (42A16)
Related Items (6)
Sequential image recovery from noisy and under-sampled Fourier data ⋮ Sequential edge detection using joint hierarchical Bayesian learning ⋮ Sparsity enforcing edge detection method for blurred and noisy Fourier data ⋮ Admissible concentration factors for edge detection from non-uniform Fourier data ⋮ Detecting edges from non-uniform Fourier data using Fourier frames ⋮ Detecting edges from non-uniform Fourier data via sparse Bayesian learning
Uses Software
Cites Work
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