Two-stage image denoising by principal component analysis with local pixel grouping
From MaRDI portal
Publication:962728
DOI10.1016/j.patcog.2009.09.023zbMath1191.68808OpenAlexW2085692415WikidataQ57810407 ScholiaQ57810407MaRDI QIDQ962728
David Zhang, Weisheng Dong, Lei Zhang, GuangMing Shi
Publication date: 7 April 2010
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2009.09.023
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Computing methodologies for image processing (68U10)
Related Items (22)
Accelerating patch-based low-rank image restoration using kd-forest and Lanczos approximation ⋮ Asymptotic Performance of Global Denoising ⋮ Denoising color images by reduced quaternion matrix singular value decomposition ⋮ A generalized information criterion for high-dimensional PCA rank selection ⋮ Multiscale hybrid nonlocal means filtering using modified similarity measure ⋮ Image denoising via an adaptive weighted anisotropic diffusion ⋮ A stochastic image denoising method based on adaptive patch-size ⋮ Video denoising via empirical Bayesian estimation of space-time patches ⋮ Iterative reweighted total generalized variation based Poisson noise removal model ⋮ Numerical scheme for efficient colour image denoising ⋮ An FPGA-based design for a real-time image denoising using approximated fractional integrator ⋮ Dictionary-based image denoising by fused-lasso atom selection ⋮ Wasserstein discriminant analysis ⋮ Poisson noise reduction with non-local PCA ⋮ A global sparse gradient based coupled system for image denoising ⋮ Medical image fusion based on nonsubsampled shearlet transform and principal component averaging ⋮ MRI denoising via sparse tensors with reweighted regularization ⋮ Nonlocal means-based denoising for medical images ⋮ Reaction-diffusion equation based image restoration ⋮ ADAPTIVE WEIGHTED LEAST SQUARES SVM BASED SNOWING MODEL FOR IMAGE DENOISING ⋮ A new variational model for removal of combined additive and multiplicative noise and a fast algorithm for its numerical approximation ⋮ Computational and space complexity analysis of SubXPCA
Cites Work
- Unnamed Item
- Unnamed Item
- Image denoising with complex ridgelets
- Digital picture processing. An introduction. Transl. from the Russian
- Hybrid inter- and intra-wavelet scale image restoration.
- Adaptive singular value decomposition in wavelet domain for image denoising.
- Spatially adaptive wavelet thresholding with context modeling for image denoising
- Image denoising using scale mixtures of gaussians in the wavelet domain
- The curvelet transform for image denoising
- $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
- De-noising by soft-thresholding
- A Review of Image Denoising Algorithms, with a New One
This page was built for publication: Two-stage image denoising by principal component analysis with local pixel grouping