An adaptive boosting algorithm for image denoising

DOI10.1155/2019/8365932zbMath1435.94013OpenAlexW2913467529MaRDI QIDQ2298853

Zhuang Fang, Liming Tang, Xuming Yi

Publication date: 20 February 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/8365932

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for integral equations (65R32)

Uses Software

• BM3D

Cites Work

• Unnamed Item
• Estimation of the mean of a multivariate normal distribution
• Boosting of Image Denoising Algorithms
• Measuring texture classification algorithms
• De-noising by soft-thresholding
• Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
• No-Reference Image Quality Assessment in the Spatial Domain
• Image Noise Level Estimation by Principal Component Analysis
• How to SAIF-ly Boost Denoising Performance
• A Review of Image Denoising Algorithms, with a New One

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