Bioucas Dias, J.
Co Author Listing * Class-specific image denoising using importance sampling
* Class-specific poisson denoising by patch-based importance sampling
* Collaborative sparse regression using spatially correlated supports-Application to hyperspectral unmixing
* Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization, A
* Digital phase-shifting holography based on sparse approximation of phase and amplitude
* External Patch-Based Image Restoration Using Importance Sampling
* Framework for Fast Image Deconvolution With Incomplete Observations, A
* Hyperspectral image superresolution: An edge-preserving convex formulation
* Multiband Image Fusion Based on Spectral Unmixing
* Novel Sharpening Approach for Superresolving Multiresolution Optical Images, A
* Phase imaging via sparse coding in the complex domain based on high-order SVD and nonlocal BM3D techniques
* Segmentation and Detection of Colorectal Polyps Using Local Polynomial Approximation
* Super-Resolution of Multispectral Multiresolution Images from a Single Sensor
* Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
* Wavefront reconstruction in phase-shifting interferometry via sparse coding of amplitude and absolute phase
Includes: Bioucas Dias, J. Bioucas-Dias, J. Bioucas-Dias, J.[José] Bioucas-Dias, J.[Jose]
15 for Bioucas Dias, J.
Bioucas Dias, J.M.[Jose M.]
Co Author Listing * Adaptive Local Phase Approximations and Global Unwrapping
* Alternating Direction Algorithm for Total Variation Reconstruction of Distributed Parameters, An
* augmented Lagrangian approach to linear inverse problems with compound regularization, An
* Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, An
* Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response
* Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
* Bayesian Wavelet-Based Image Deconvolution: A GEM Algorithm Exploiting a Class of Heavy-Tailed Priors
* Blind Estimation of Motion Blur Parameters for Image Deconvolution
* Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting
* CAPE: combinatorial absolute phase estimation
* Collaborative Sparse Regression for Hyperspectral Unmixing
* Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising, A
* Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization
* Denoising of medical images corrupted by Poisson noise
* Discontinuity Preserving Phase Unwrapping Using Graph Cuts
* Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution, An
* Fast Image Recovery Using Variable Splitting and Constrained Optimization
* Fast Sparse Multinomial Regression Applied to Hyperspectral Data
* Feature Selection in Regression Tasks Using Conditional Mutual Information
* Frame-based deconvolution of Poissonian images using alternating direction optimization
* Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
* Generalized Composite Kernel Framework for Hyperspectral Image Classification
* HYCA: A New Technique for Hyperspectral Compressive Sensing
* Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
* Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations
* Hyperspectral Image Denoising Based on Global and Non-Local Low-Rank Factorizations
* Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning
* Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data
* Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects
* Image restoration and reconstruction using variable splitting and class-adapted image priors
* Integration of Hyperspectral Image Classification and Unmixing for Active Learning
* Interferometric Phase Image Estimation via Sparse Coding in the Complex Domain
* iterative algorithm for linear inverse problems with compound regularizers, An
* Majorization-Minimization Algorithms for Wavelet-Based Image Restoration
* Minimum Total Variation in 3D Ultrasound Reconstruction
* Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing
* Multi-frequency Phase Unwrapping from Noisy Data: Adaptive Local Maximum Likelihood Approach
* Multiple Feature Learning for Hyperspectral Image Classification
* Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
* MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression
* New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping, A
* New Pansharpening Method Based on Spatial and Spectral Sparsity Priors, A
* New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration, A
* Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion
* Pansharpening Based on Semiblind Deconvolution
* Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus
* Performance measures for classification systems with rejection
* Phase unwrapping via diversity and graph cuts
* Phase Unwrapping via Graph Cuts
* R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation
* Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing
* Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles
* Restoration of Poissonian Images Using Alternating Direction Optimization
* Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing
* Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches
* Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning
* Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm
* Signal and Image Processing in Hyperspectral Remote Sensing
* Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing, A
* Sparse Distributed Multitemporal Hyperspectral Unmixing
* Sparse Unmixing of Hyperspectral Data
* Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization
* Spectral-Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning
* Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields
* Total variation restoration of speckled images using a split-bregman algorithm
* Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing
* Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
Includes: Bioucas Dias, J.M.[Jose M.] Bioucas-Dias, J.M.[José M.] Bioucas-Dias, J.M. Bioucas-Dias, J.M.[Jose M.]
67 for Bioucas Dias, J.M.
Bioucas Dias, J.M.B.[Jose M.B.]
Co Author Listing * Bayesian Hyperspectral Image Segmentation With Discriminative Class Learning
* Dependent Component Analysis: A Hyperspectral Unmixing Algorithm
* Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?
* Hyperspectral Subspace Identification
* Hyperspectral Unmixing Based on Mixtures of Dirichlet Components
* Vertex Component Analysis: A Fast Algorithm to Unmix Hyperspectral Data
Includes: Bioucas Dias, J.M.B.[Jose M.B.] Bioucas-Dias, J.M.B.[José M.B.]
Bioul, G.[Gery]
Co Author Listing * Real-time speckle image processing