A Note on the Size of Denoising Neural Networks

DOI10.1137/15M1040311zbMath1365.94056OpenAlexW2280998288MaRDI QIDQ2797780

Yi-Qing Wang

Publication date: 31 March 2016

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/15m1040311

zbMATH Keywords

small neural networkssmall-scale texture denoising

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• Steerable pyramid
• BM3D

Cites Work

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• Nonlinear total variation based noise removal algorithms
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• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Large-Scale Machine Learning with Stochastic Gradient Descent
• Learning Deep Architectures for AI
• Image denoising using scale mixtures of gaussians in the wavelet domain
• The curvelet transform for image denoising
• Ideal spatial adaptation by wavelet shrinkage
• A Review of Image Denoising Algorithms, with a New One

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