ADAPTIVE WEIGHTED LEAST SQUARES SVM BASED SNOWING MODEL FOR IMAGE DENOISING

DOI10.1142/S0219691313500434zbMath1286.94028MaRDI QIDQ2867967

Changcai Yang, Xiao-Jun Wang, Sheng Zheng, E. A. Hendriks

Publication date: 23 December 2013

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

zbMATH Keywords

image denoisingdirectional support value transform (SVT)snowing modelsupport value matrixweighted least squares SVM

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Least squares and related methods for stochastic control systems (93E24) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Image denoising based on edge detection and prethresholding Wiener filtering of multi-wavelets fusion

Cites Work

• Unnamed Item
• Two-stage image denoising by principal component analysis with local pixel grouping
• Weighted least squares support vector machines: robustness and sparse approximation
• IMAGE DENOISING BASED ON GAUSSIAN AND NON-GAUSSIAN ASSUMPTION
• Image denoising using scale mixtures of gaussians in the wavelet domain
• IMAGE DENOISING BASED ON THE DYADIC WAVELET TRANSFORM AND IMPROVED THRESHOLD
• Fuzzy Peer Groups for Reducing Mixed Gaussian-Impulse Noise From Color Images
• Adaptive Kernel-Based Image Denoising Employing Semi-Parametric Regularization
• An Efficient Two-Phase ${\rm L}^{1}$-TV Method for Restoring Blurred Images with Impulse Noise
• Efficient Fourier-Wavelet Super-Resolution
• Fuzzy Random Impulse Noise Removal From Color Image Sequences
• Nonlocal Mumford-Shah Regularizers for Color Image Restoration
• Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise

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