Maximum absolute relative differences statistic for removing random-valued impulse noise from given image

DOI10.1007/S00034-017-0655-XzbMath1426.94025OpenAlexW2755606647MaRDI QIDQ2003318

Bhupendra Gupta, Mayank Tiwari

Publication date: 16 July 2019

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

Full work available at URL: https://doi.org/10.1007/s00034-017-0655-x

zbMATH Keywords

image restorationrandom-valued impulse noisemaximum absolute relative differences statisticnoise detector

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

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• An efficient universal noise removal algorithm combining spatial gradient and impulse statistic
• Fuzzy reasoning-based directional median filter design
• Global Image Denoising
• Gradient Histogram Estimation and Preservation for Texture Enhanced Image Denoising
• Progressive Image Denoising
• A Review of Image Denoising Algorithms, with a New One

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