Adaptive sparse coding on PCA dictionary for image denoising
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Summary
An energy optimization model for image denoising, called adaptive sparse coding on a principal component analysis dictionary (ASC-PCA), and a filter-based iterative shrinkage algorithm containing the filter- based back-projection and shrinkage stages is proposed.
- Type
- article
- Published
- 2016-04-01
- Cited by
- 26
- References
- 32
- OpenAlex
- https://openalex.org/W637287392
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6209438
Keywords
Computer science, Neural coding, Artificial intelligence, Computer graphics, Pattern recognition (psychology)
References
- Recent Developments in Total Variation Image Restoration
- BM3D Image Denoising with Shape-Adaptive Principal Component Analysis
- Adaptive principal components and image denoising
- Nonlocally Centralized Sparse Representation for Image Restoration
- Multivariate Statistical Models for Image Denoising in the Wavelet Domain
- Self-adaptive spatial image denoising model based on scale correlation and SURE-LET in the nonsubsampled contourlet transform domain
- Block-based image inpainting in the wavelet domain
- Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
- Block-based noise estimation using adaptive Gaussian filtering
- A nonlinear level set model for image deblurring and denoising
- Bilateral signal variance estimation for wavelet-domain image denoising
- Two-stage image denoising by principal component analysis with local pixel grouping
- Requirements model driven adaption and evolution of Internetware
- A non-local algorithm for image denoising
- Bilateral filtering for gray and color images
- Nonlinear total variation based noise removal algorithms
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
- A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
- Image quality assessment: from error visibility to structural similarity
Cited by
- Denoising of natural images through robust wavelet thresholding and genetic programming
- A novel sparse-representation-based multi-focus image fusion approach
- Compressed sensing image reconstruction via adaptive sparse nonlocal regularization
- Monocular three-dimensional human pose estimation using local-topology preserved sparse retrieval
- A Probabilistic Fuzzy Principle Component Analysis Model for Scene Denoising
- Generalised non-locally centralised image de-noising using sparse dictionary
- A Discriminative Face Geometric Feature-Based Face Recognition
- Blind deblurring with sparse representation via external patch priors
- Detection method of TFe content of iron ore based on visible-infrared spectroscopy and IPSO-TELM neural network
- Image denoising by low-rank approximation with estimation of noise energy distribution in SVD domain
- Implementation of Matrix SVD Decomposition Module for Subspace Channel Estimation
- Tensorizing Restricted Boltzmann Machine
- An Improved WNNM Algorithm for Image Denoising
- LLp norm regularization based group sparse representation for image compressed sensing recovery
- Multiexposure Estimation and Fusion Based on a Sparsity Exposure Dictionary
- On the convexification of the Perona–Malik diffusion model
- Adaptive iterative global image denoising method based on SVD
- Detail preserving image denoising with patch-based structure similarity via sparse representation and SVD
- Generalization-error-bound-based discriminative dictionary learning
- Combining adaptive dictionary learning with nonlocal similarity for full-waveform inversion
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