A model based on local graphs for colour images and its application for Gaussian noise smoothing

DOI10.1016/J.CAM.2017.05.013zbMath1372.94208OpenAlexW2622467884MaRDI QIDQ1676026

J. Alberto Conejero, Samuel Morillas, Cristina Pérez-Benito, Cristina Jordán Lluch

Publication date: 3 November 2017

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2017.05.013

zbMATH Keywords

graph modelcolour image processingimage smoothinghybrid filter

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

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Cites Work

• Color image processing by vectorial total variation with gradient channels coupling
• cDNA microarray image processing using fuzzy vector filtering framework
• Multichannel blind iterative image restoration
• Peer group image enhancement
• Tree Filtering: Efficient Structure-Preserving Smoothing With a Minimum Spanning Tree
• Fuzzy Peer Groups for Reducing Mixed Gaussian-Impulse Noise From Color Images

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