A robust noise removal algorithm with consideration of contextual information

DOI10.1007/S11045-014-0298-ZzbMath1380.94015OpenAlexW2076006009MaRDI QIDQ2014171

Qing-Qiang Chen, Chuan-Yu Chang

Publication date: 10 August 2017

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-014-0298-z

zbMATH Keywords

image denoisingimpulse noisecontextual informationmedian filter

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• MeTriX MuX

Cites Work

• Center weighted median filters: Some properties and their applications in image processing
• A new impulse detection and filtering method for removal of wide range impulse noises
• A coupled variational model for image denoising using a duality strategy and split Bregman
• Noise adaptive soft-switching median filter

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