Impulse noise removal by a nonmonotone adaptive gradient method

DOI10.1016/J.SIGPRO.2010.04.017zbMath1197.94151OpenAlexW2061099287MaRDI QIDQ1957285

Yanyan Li

Publication date: 24 September 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.04.017

zbMATH Keywords

optimizationimage denoisingimpulse noiseadaptive gradient method

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Spectral gradient method for impulse noise removal ⋮ Impulse noise removal by an adaptive trust-region method

Cites Work

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• Gradient methods with adaptive step-sizes
• Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming
• R-linear convergence of the Barzilai and Borwein gradient method
• Two-Point Step Size Gradient Methods
• On the Barzilai and Borwein choice of steplength for the gradient method
• The cyclic Barzilai-–Borwein method for unconstrained optimization

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