Elad, A.[Asi]
Co Author Listing * Bending Invariant Representations for Surfaces
* Direct Validation of the Information Bottleneck Principle for Deep Nets
* Low Bit-Rate Compression of Facial Images
* On bending invariant signatures for surfaces
* Texture Mapping via Spherical Multi-dimensional Scaling
Includes: Elad, A.[Asi] Elad, A.
Elad, M.[Michael]
Co Author Listing * Acceleration of RED via vector extrapolation
* Ada-LISTA: Learned Solvers Adaptive to Varying Models
* Advances and challenges in super-resolution
* Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals
* Applications of Sparse Representation and Compressive Sensing
* Better Compression With Deep Pre-Editing
* Bi-l0-l2-norm regularization for blind motion deblurring
* Biblio: Automatic Meta-Data Extraction
* Boosting of Image Denoising Algorithms
* Complex-Valued Retrievals From Noisy Images Using Diffusion Models
* Compression for Multiple Reconstructions
* Compression of facial images using the K-SVD algorithm
* Con-Patch: When a Patch Meets Its Context
* Convolutional Dictionary Learning via Local Processing
* Deep K-SVD Denoising
* Dictionaries for Sparse Representation Modeling
* Down-scaling for better transform compression
* Example-based cross-modal denoising
* Example-Based Image Synthesis via Randomized Patch-Matching
* Expected Patch Log Likelihood with a Sparse Prior
* Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform
* Fast and Robust Multiframe Super Resolution
* Fast and Robust Super-Resolution
* fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur, A
* Generalized Uncertainty Principle and Sparse Representation in Pairs of Bases, A
* Generalizing the Nonlocal-Means to Super-Resolution Reconstruction
* Guest Editorial: Sparse Coding
* High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
* High-Perceptual Quality JPEG Decoding via Posterior Sampling
* Image decomposition via the combination of sparse representations and a variational approach
* Image denoising through multi-scale learnt dictionaries
* Image Denoising Via Learned Dictionaries and Sparse representation
* Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
* Image Denoising with Shrinkage and Redundant Representations
* Image Denoising: The Deep Learning Revolution and Beyond: A Survey Paper
* Image Processing Using Smooth Ordering of its Patches
* Image Sequence Denoising via Sparse and Redundant Representations
* Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse
* Improving K-SVD denoising by post-processing its method-noise
* K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
* L1-L2 Optimization in Signal and Image Processing
* Large Inpainting of Face Images With Trainlets
* Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond
* LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
* Little Engine That Could: Regularization by Denoising (RED), The
* Local Block Coordinate Descent Algorithm for the CSC Model, A
* Multi-Scale Patch-Based Image Restoration
* Multiframe Demosaicing and Super-Resolution of Color Images
* Multiscale Sparse Image Representation with Learned Dictionaries
* On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks
* On Sparse Signal Representations
* On the Design of Filters for Gradient-Based Motion Estimation
* On the origin of the bilateral filter and ways to improve it
* On the Role of Sparse and Redundant Representations in Image Processing
* Optimal Filters for Gradient-based Motion Estimation
* Optimal framework for low bit-rate block coders
* Optimized Pre-Compensating Compression
* Patch Craft: Video Denoising by Deep Modeling and Patch Matching
* Patch Ordering as a Regularization for Inverse Problems in Image Processing
* Patch-Ordering-Based Wavelet Frame and Its Use in Inverse Problems
* PatchCraft Self-Supervised Training for Correlated Image Denoising
* Pattern Detection Using a Maximal Rejection Classifier
* Pixels that Sound
* Poisson inverse problems by the Plug-and-Play scheme
* Postprocessing of Compressed Images via Sequential Denoising
* Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems
* Probabilistic Subspace Clustering Via Sparse Representations
* Recursive Optical Flow Estimation: Adaptive Filtering Approach
* Reduced complexity Retinex algorithm via the variational approach
* Redundant Wavelets on Graphs and High Dimensional Data Clouds
* Regularization by Denoising via Fixed-Point Projection (RED-PRO)
* Rejection based classifier for face detection
* Restoration of a Single Superresolution Image from Several Blurred, Noisy, and Undersampled Measured Images
* Retinex by Two Bilateral Filters
* Semi-supervised Quality Evaluation of Colonoscopy Procedures
* Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations, A
* Simultaneous Detection and Classification of Partially and Weakly Supervised Cells
* Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling
* Space-Dependent Color Gamut Mapping: A Variational Approach
* Sparse And Redundant Modeling Of Image Content Using An Image-Signature-Dictionary
* Sparse and Redundant Representation Modeling: What Next?
* Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing
* Sparse Representation for Color Image Restoration
* Sparsity Based Methods for Overparameterized Variational Problems
* Sparsity based poisson inpainting
* Sparsity-Based Poisson Denoising With Dictionary Learning
* Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks
* Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution, A
* Stochastic Image Denoising by Sampling from the Posterior Distribution
* Style Transfer Via Texture Synthesis
* Super Resolution With Probabilistic Motion Estimation
* Super-resolution Reconstruction of Continuous Image Sequences
* Super-Resolution Reconstruction of Image Sequences
* Super-Resolution Without Explicit Subpixel Motion Estimation
* Superresolution Restoration of an Image Sequence: Adaptive Filtering Approach
* Turning a denoiser into a super-resolver using plug and play priors
* Unified Single-Image and Video Super-Resolution via Denoising Algorithms
* Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
* Variable Projection for Near-Optimal Filtering in Low Bit-Rate Block Coders
* Variational Framework for Retinex, A
* Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences
Includes: Elad, M.[Michael] Elad, M.
101 for Elad, M.
Eladawi, N.
Co Author Listing * Early Diagnosis of Diabetic Retinopathy in OCTA Images Based on Local Analysis of Retinal Blood Vessels and Foveal Avascular Zone
* Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network
Eladawy, A.[Ahmed]
Co Author Listing * Remotely Sensed Ecological Protection Redline and Security Pattern Construction: A Comparative Analysis of Pingtan (China) and Durban (South Africa)
Eladhari, M.P.
Co Author Listing * Mind Module: Using an Affectand Personality Computational Modelas a Game-Play Element, The