On learning optimized reaction diffusion processes for effective image restoration
Explore this paper's citation graph
- Type
- article
- Published
- 2015-03-19
- Cited by
- 335
- References
- 54
- Access
- Open access
- OpenAlex
- https://openalex.org/W1915360731
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9220669
Keywords
Computer science, Image restoration, Computation, Simplicity, Relevance (law)
References
- Anisotropic diffusion in image processing
- Relations Between Regularization and Diffusion Filtering
- On the choice of the parameters for anisotropic diffusion in image processing
- Image Quantization Using Reaction-Diffusion Equations
- An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal
- Reducing Artifacts in JPEG Decompression Via a Learned Dictionary
- A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical
- iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
- Handbook of Neural Network Signal Processing
- Natural image denoising: Optimality and inherent bounds
- Weighted and well-balanced anisotropic diffusion scheme for image denoising and restoration
- Two Enhanced Fourth Order Diffusion Models for Image Denoising
- Image processing through reaction combined with nonlinear diffusion
- Weighted Nuclear Norm Minimization with Application to Image Denoising
- Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs
- On the limited memory BFGS method for large scale optimization
- Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
- Natural Image Denoising with Convolutional Networks
- A well-balanced flow equation for noise removal and edge detection
- Forward-and-backward diffusion processes for adaptive image enhancement and denoising
Cited by
- Proceedings of the third"international Traveling Workshop on Interactions between Sparse models and Technology"(iTWIST'16)
- Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
- Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising
- Conditioned Regression Models for Non-blind Single Image Super-Resolution
- Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion
- Sparse and Scale-Invariant Methods in Image Processing. (Méthodes parcimonieuses et invariantes d'échelle en traitement d'image)
- Learning Optimal Nonlinearities for Iterative Thresholding Algorithms
- Explorations on anisotropic regularisation of dynamic inverse problems by bilevel optimisation
- Variational reaction-diffusion systems for semantic segmentation
- A versatile sparse representation based post-processing method for improving image super-resolution
- cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
- Learning joint demosaicing and denoising based on sequential energy minimization
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Image Denoising via Multiscale Nonlinear Diffusion Models
- Recurrent Neural Networks to Correct Satellite Image Classification Maps
- Low-Rankness Transfer for Realistic Denoising
- Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches
- New PDE models for imaging problems and applications
- A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
- Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
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