Fast algorithm for image denoising with different boundary conditions
DOI10.1016/j.jfranklin.2017.04.011zbMath1380.94041OpenAlexW2607702188MaRDI QIDQ682840
Xiaole Zhang, Zhi-Feng Pang, Yu-Ying Shi, Yong-gui Zhu
Publication date: 5 February 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.2017.04.011
fast algorithmimage denoisingaugmented Lagrangian method (ALM)\(L_1\) fidelity term\(L_2\) fidelity termboundary conditions (BCs)combined \(L_1\) and \(L_2\) fidelity termfast Fourier transform (FFT) algorithmsymmetric Red-Black Gauss-Seidel (SRBGS) method
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for discrete and fast Fourier transforms (65T50)
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Cites Work
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