An optimized direction statistics for detecting and removing random-valued impulse noise

DOI10.3934/jimo.2017062zbMath1412.94012OpenAlexW2709224105MaRDI QIDQ1716968

Hang Qiu, Leiting Chen, Hao Yang

Publication date: 5 February 2019

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2017062

zbMATH Keywords

image denoisingrandom-valued impulse noisedetail-preserving regularizationweight rank-order differences

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Linear operators and ill-posed problems, regularization (47A52)

Cites Work

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• A variational approach to remove outliers and impulse noise
• A new weighted mean filter with a two-phase detector for removing impulse noise
• The dual parameterization approach to optimal least square FIR filter design subject to maximum error constraints
• Fast, robust total variation-based reconstruction of noisy, blurred images
• A Universal Denoising Framework With a New Impulse Detector and Nonlocal Means

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