Aleksandra Pizurica

Publications

• PCGen: A Fully Parallelizable Point Cloud Generative Model
• Understanding skin color bias in deep learning-based skin lesion segmentation
• An end-to-end framework for joint denoising and classification of hyperspectral images
• A new deep learning neural network architecture for seafloor characterisation
• Counterfactual functional connectomes for neurological classifier selection
• D4SC : Deep supervised semantic segmentation for seabed characterisation in low label regime
• From model-based optimization algorithms to deep learning models for clustering hyperspectral images
• GPU rasterization-based 3D LiDAR simulation for deep learning
• HSIToolbox : a web-based application for the classification of hyperspectral images
• Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection
• Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation
• Segment-then-segment : context-preserving crop-based segmentation for large biomedical images
• Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis
• Recent Progress in Epicardial and Pericardial Adipose Tissue Segmentation and Quantification Based on Deep Learning: A Systematic Review
• A Unified Multiview Spectral Feature Learning Framework for Hyperspectral Image Classification
• A structural subspace clustering approach for hyperspectral band selection
• Editorial to special issue 'Remote Sensing Image Denoising, Restoration and Reconstruction'
• Efficient local image descriptors learned with autoencoders
• Fully group convolutional neural networks for robust spectral-spatial feature learning
• Hybrid-hypergraph regularized multiview subspace clustering for hyperspectral images
• On interpretability of CNNs for multimodal medical image segmentation
• Spectral feature fusion networks with dual attention for hyperspectral image classification
• Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization
• Virtual restoration of paintings based on deep learning
• Virtual restoration of paintings using adaptive adversarial neural network
• The Impact of Non-uniform Label Noise on the Classification of Hyperspectral Images
• Deep image hashing based on twin-bottleneck hashing with variational autoencoders
• Multimodal extension of the ML-CSC framework for medical image segmentation
• A study on the label noise impact on the hyperspectral image classification
• Acoustic Seafloor Classification Using the Weyl Transform of Multibeam Echosounder Backscatter Mosaic
• Fast Full Search Equivalent Block Matching for Multichannel Images
• Hierarchical Variational Autoencoders For Visual Counterfactuals
• Invertible local image descriptors learned with variational autoencoders
• On extending the ADMM algorithm to the quaternion algebra setting
• THE IMPACT OF LABEL NOISE ON THE CLASSIFICATION MODELS FOR HYPERSPECTRAL IMAGES
• β-variational autoencoders for learning invertible local image descriptors
• L0 and L1 approaches to sparse coding of octonion valued signals
• A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
• Deep feature fusion via two-stream convolutional neural network for hyperspectral image classification
• A deep learning approach to crack detection on road surfaces
• A deep learning-based approach for defect detection and removing on archival photos
• A two-stream neural network architecture for the detection and analysis of cracks in panel paintings
• Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing
• Assisting classical paintings restoration: efficient paint loss detection and descriptor-based inpainting using shared pretraining
• Automated visual inspection algorithm for the reflection detection and removing in image sequences
• CRACK DETECTION IN PAINTINGS USING CONVOLUTIONAL NEURAL NETWORKS
• Learned BRIEF : transferring the knowledge from hand-crafted to learning-based descriptors
• MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior
• Multi-view Subspace Clustering for Hyperspectral Images
• Multimodal Target Detection by Sparse Coding: Application to Paint Loss Detection in Paintings
• On Variational Auto-Encoders for Fixed Graph Mesh Learning
• Sketch-based Subspace Clustering of Hyperspectral Images
• Sketched Sparse Subspace Clustering for Large-Scale Hyperspectral Images
• Three-Dimensional Block Matching Using Orthonormal Tree-Structured Haar Transform for Multichannel Images
• Variational Auto-Encoders without graph coarsening for fine mesh learning
• Autoencoder-learned local image descriptor for image inpainting
• Automatic detection of welding defects using the convolutional neural network
• Class reconstruction driven adversarial domain adaptation for hyperspectral image classification
• Classification of multibeam sonar image using the Weyl transform
• Deep learning for paint loss detection with a multiscale, translation invariant network
• Group convolutional neural network for hyperspectral image classification
• Hierarchical metric learning for optical remote sensing scene categorization
• Landmark-based large-scale sparse subspace clustering method for hyperspectral images
• Learning Local Image Descriptors with Autoencoders
• Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure
• Multi-coil magnetic resonance imaging reconstruction with a Markov Random Field prior
• Partial convolution based multimodal autoencoder for art investigation
• Robust dynamic classifier selection for remote sensing image classification
• Science : restauration virtuelle et analyse mathématique des perles présentes dans l'Agneau mystique
• Science : virtual restauration and mathematical analysis of the pearls in the Ghent Altarpiece
• Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images
• Wetenschap : virtuele restauratie en wiskundige analyse van parels in het Lam Gods
• A deep learning approach to crack detection in panel paintings
• An overview of state-of-the-art image restoration in electron microscopy
• Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece
• Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery
• Hypercomplex algebras for dictionary learning
• Image Inpainting and demosaicing via total variation and Markov random field-based modeling
• Joint sparsity based sparse subspace clustering for hyperspectral images
• Left Atrial Appendage Segmentation in 3D CCTA Images
• Left atrial appendage segmentation software with detection of occluder placement location
• Octonion sparse representation for color and multispectral image processing
• Paint loss detection via kernel sparse representation
• Skeletonization method for vessel delineation of arteriovenous malformation
• A robust sparse representation model for hyperspectral image classification
• Greedy MRI reconstruction using Markov Random Field prior
• Hyperspectral unmixing using double reweighted sparse regression and total variation
• Image denoising algorithms : from wavelet shrinkage to nonlocal collaborative filtering
• Image processing for research on the "Ghent altarpiece"
• Multiscale superpixel-level subspace-based support vector machines for hyperspectral image classification
• Robust joint sparsity model for hyperspectral image classification
• Sparse recovery in magnetic resonance imaging with a Markov random field prior
• 3D microwave tomography with huber regularization applied to realistic numerical breast phantoms
• Achievability of the rate-distortion function in binary uniform source coding with side information
• Big Data Processing in Artwork Analysis
• Compressed sensing in MRI with a Markov random field prior for spatial clustering of subband coefficients
• D-BRAIN: anatomically accurate simulated diffusion MRI brain data
• Double reweighted sparse regression for hyperspectral unmixing
• Exploiting the low-rank property of hyperpsectral imagery: a technical overview
• Fusion of Spectral And Spatial Information for Land Cover Classification
• Fusion of spectral and spatial information for classification of hyperspectral remote-sensed imagery by local graph
• Hyperspectral image kernel sparse subspace clustering with spatial max pooling operation
• Hyperspectral unmixing by reweighted low rank and total variation
• Paint loss detection in old paintings by sparse representation classification
• Sparse MRI with a Markov Random Field Prior for the Subband Coefficients
• A two stage patch-based Markov Random Field approach to structure-aware image inpainting
• An overview of state-of-the-art denoising and demosaicking techniques: toward a unified framework for handling artifacts during image reconstruction
• Analysis of coupled dictionary learning for super-resolving video of mixed resolution
• Compressed sensing using sparse binary measurements: a rateless coding perspective
• Context-aware patch-based image inpainting using Markov random field modeling
• Digital image processing of the Ghent altarpiece: supporting the painting's study and conservation treatment
• Fusion of thermal infrared hyperspectral image and visible RGB image for classification
• Generalized graph-based fusion of hyperspectral and LiDAR data using morphological features
• Processing of multiresolution thermal hyperspectral and digital color data: outcome of the 2014 IEEE GRSS data fusion contest
• Shearlet-domain task-driven post-processing and filtering of CT noise
• Split-and-match: a Bayesian framework for vehicle re-identification in road tunnels
• The effect of Gibbs ringing artifacts on measures derived from diffusion MRI
• Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter
• 3D quantitative microwave imaging from sparsely measured data with Huber regularization
• A novel method for realistic DWI data generation
• Adaptive compressed sensing using sparse measurement matrices
• Automatic high-bandwidth calibration and reconstruction of arbitrarily sampled parallel MRI
• Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data
• Compressed sensing using sparse adaptive measurements
• Depth-guided patch-based disocclusion filling for view synthesis via Markov random field modelling
• Dictionary learning techniques for painter style identification: case study on the Ghent Altarpiece
• Fusion of pixel-based and object-based features for classification of urban hyperspectral remote sensing data
• Hyperspectral and LiDAR data fusion: outcome of the 2013 GRSS data fusion contest
• Online non-rigid structure-from-motion based on a keyframe representation of history
• Pixel profiling for extraction of arteriovenous malformation in 3-D CTA images
• Robust segmentation methods with an application to aortic pulse wave velocity calculation
• Skeleton calculation for automatic extraction of arteriovenous malformation in 3-D CTA images
• Weakly convex discontinuity adaptive regularization for 3D quantitative microwave tomography
• A split-augmented Lagrangian algorithm for spectral factorization of a set of 2D directional filters and application to the design of compact shearlet frames
• Advanced statistical tools for enhanced quality digital imaging with realistic capture models
• Bayesian demosaicing using Gaussian scale mixture priors with local adaptivity in the dual tree complex wavelet packet transform domain
• Brain blood vessel segmentation using line-shaped profiles
• Complex wavelet joint denoising and demosaicing using Gaussian scale mixtures
• Computationally efficient locally adaptive demosaicing of color filter array images using the dual-tree complex wavelet packet transform
• Context-aware image inpainting with application to virtual restoration of old paintings
• Crack detection and inpainting for virtual restoration of paintings: the case of the Ghent Altarpiece
• Efficient foreground detection for real-time surveillance applications
• Exploring contour and texture features for context-aware patch-based inpainting
• Hyperspectral image deblurring with PCA and total variation
• Iterative CT reconstruction using shearlet-based regularization
• New insights in huber and TV-like regularizers in microwave imaging
• Obstacle detection for pedestrians with a visual impairment based on 3D imaging
• Quantitative microwave imaging based on a huber regularization
• Semisupervised local discriminant analysis for feature extraction in hyperspectral images
• Three-dimensional quantitative microwave imaging of realistic numerical breast phantoms using huber regularization
• Two-stage denoising method for hyperspectral images combining KPCA and total variation
• Vehicle classification for road tunnel surveillance
• Weakly convex discontinuity adaptive regularization for microwave imaging
• A new regularization approach applied to electromagnetic inverse scattering in 3D
• A primal-dual algorithm for joint demosaicking and deconvolution
• Artifact-free resolution enhancement using a shearlet sparsity prior
• Centerline calculation for extracting abdominal aorta in 3-D MRI images
• Classification of hyperspectral data over urban areas based on extended morphological profile with partial reconstruction
• Classification of hyperspectral data over urban areas using directional morphological profiles and semi-supervised feature extraction
• Color image restoration and reconstruction
• Combined non-local and multi-resolution sparsity prior in image restoration
• Combined shearlet and TV regularization in sparse-view CT reconstruction
• Correction of Gibbs ringing in diffusion MRI data using total variation regularization
• Generalized pixel profiling and comparative segmentation with application to arteriovenous malformation segmentation
• Image projection clues for improved real-time vehicle tracking in tunnels
• Iterative CT reconstruction using shearlet-based regularization
• Markov random field based image inpainting with context-aware label selection
• Multi-modal measurement of cortical thickness in brain MRI for Focal Cortical Dysplasia detection
• Neighbourhood-consensus message passing as a framework for generalized iterated conditional expectations
• Object identification by using orthonormal circus functions from the trace transform
• On density compensation in Bayesian k-space trajectory optimization
• Quantitative microwave tomography from sparse measurements using a robust huber regularizer
• Real-time detection of traffic events using smart cameras
• Realistic camera noise modeling with application to improved HDR synthesis
• Spatiogram features to characterize pearls and beads and other small ball-shaped objects in paintings
• Spatiogram features to characterize pearls in the Ghent altarpiece
• Texture and color descriptors as a tool for context-aware patch-based image inpainting
• Total least square kernel regression
• A mathematical morphology based approach for vehicle detection in road tunnels
• A new discontinuity adaptive method applied to electromagnetic inverse scattering problem
• A new discontinuity adaptive method applied to electromagnetic inverse scattering problem in 3D
• Augmented Lagrangian based reconstruction of non-uniformly sub-Nyquist sampled MRI data
• Automatic 3D graph cuts for brain cortex segmentation in patients with focal cortical dysplasia
• Brain MRI segmentation for focal cortical dysplasia lesion detection
• Brain MRI segmentation for focal cortical dysplasia lesion detection
• Crack detection and inpainting for virtual restoration of paintings: the case of the Ghent altarpiece
• Denoising algorithm for the 3D depth map sequences based on multihypothesis motion estimation
• Design of a tight frame of 2D shearlets based on a fast non-iterative analysis and synthesis algorithm
• Efficient multiscale and multidirectional representation of 3D Data using the 3D discrete shearlet transform
• Feature extraction for hyperspectral images based on semi-supervised local linear discriminant analysis
• Gibbs artifact suppression for DT-MRI data
• Image restoration and applications in biomedical processing
• Joint photometric and geometric image registration in the total least square sense
• Measuring cortical thickness in brain MRI volumes to detect focal cortical dysplasia (FCD) in epilepsy patients
• Measuring cortical thickness in brain MRI volumes to detect focal cortical dysplasia (FCD) in epilepsy patients
• Neighbourhood-consensus message passing and its potentials in image processing applications
• No-reference blur estimation based on the average cone ratio in the wavelet domain
• No-reference blur estimation based on the average cone ratio in the wavelet domain
• Non-overlapping multi-camera detection and tracking of vehicles in tunnel surveillance
• On structured sparsity and selected applications in tomographic imaging
• Real-time vehicle matching for multi-camera tunnel surveillance
• Reconstruction of high dynamic range images with poisson noise modeling and integrated denoising
• Robust segmentation methods for aortic pulse wave velocity measurement
• Segmentation of abdominal aorta for pulse wave velocity calculation
• Segmentation of brain blood vessels using projections in 3-D CT angiography images
• Single image example-based super-resolution using cross-scale patch matching and Markov random field modelling
• Spatiogram features to characterize pearls in paintings
• Spatiogram features to characterize pearls in paintings
• Split-Bregman-based sparse-view CT reconstruction
• Training neural networks on artificially generated data: a novel approach to SAR speckle removal
• Virtual restoration of the Ghent altarpiece using crack detection and inpainting
• Wavelet-based analysis and estimation of colored noise
• A GPU-accelerated real-time NLMeans algorithm for denoising color video sequences
• A fast iterative kernel PCA feature extraction for hyperspectral images
• A recursive scheme for computing autocorrelation functions of decimated complex wavelet subbands
• COMPASS: a joint framework for parallel imaging and compressive sensing in MRI
• Consistent joint photometric and geometric image registration
• Craquelure inpainting in art work
• Fuzzy logic-based approach to wavelet denoising of 3D images produced by time-of-flight cameras
• Image blur estimation based on the average cone of ratio in the wavelet domain
• Pearls and beads in Jan van Eyck’s paintings
• Real-time vehicle matching for multi-camera tunnel surveillance
• Real-time wavelet based blur estimation on cell BE platform
• Segmentation of airways in lungs using projections in 3-D CT angiography images
• Single-image super-resolution using sparsity constraints and non-local similarities at multiple resolution scales
• Suppression of correlated noise
• Surface reconstruction of wear in carpets by using a wavelet edge detector
• Teaching a computer about shapes in paintings
• A filter design technique for improving the directional selectivity of the first scale of the dual-tree complex wavelet transform
• Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods
• Efficient design of a low redundant discrete shearlet transform
• Efficient inference engine for Ising Markov random field model
• Exact LMS learning curve analysis under finite word length effects
• Image blur estimation based on the average cone of ratio in the wavelet domain
• Image denoising using mixtures of projected Gaussian scale mixtures
• Length measurement of abdominal blood vessels through segmentation and skeletonization
• Locally adaptive complex wavelet-based demosaicing for color filter array images
• Locally adaptive passive error concealment for wavelet coded video
• Multiresolution example-based depth image restoration
• Passive error concealment for wavelet-coded I-frames with an inhomogeneous Gauss-Markov random field model
• Removal of correlated noise by modeling the signal of interest in the wavelet domain
• Robust detection and tracking of moving objects in traffic video surveillance
• SAR speckle removal by neural networks trained on artificially generated data
• Segmentation and length measurement of the abdominal blood vessels in 3-D MRI images
• A 3D denoising algorithm for MRI corrupted by correlated noise
• Active Appearance Model (AAM) - From theory to implementation
• Adaptive non-local means filtering of images corrupted by colored noise
• An improved non-local denoising algorithm
• Automatic individual detection and separation of multiple overlapped nematode worms using skeleton analysis
• Classifying electrocardiogram peaks using new wavelet domain features
• Complex wavelet based demosaicing for use in digital still cameras
• Computationally efficient algorithm for tracking of vehicles in tunnels
• Context adaptive image denoising through modeling of curvelet domain statistics
• Denoising of multicomponent images using wavelet least-squares estimators
• EM-based estimation of spatially variant correlated image noise
• Edge linking based method to detect and separate individual C. elegans worms in culture
• Efficient video segmentation using temporally updated mean shift clustering
• Intersubband reconstruction of lost low frequency coefficients in wavelet coded images
• Locally adaptive passive error concealment for wavelet coded images
• MACHINE VISION DETECTION OF ISOLATED AND OVERLAPPED NEMATODE WORMS USING SKELETON ANALYSIS
• Magnetic resonance imaging restoration in the presence of correlated noise
• Multiresolution denoising for optical coherence tomography: a review and evaluation
• Object tracking using naive Bayesian classifiers
• Optimization of packetization masks for image coding based on an objective cost function for desired packet spreading
• Passive error concealment for wavelet coded images with efficient reconstruction of high-frequency content
• Reduced decoder complexity and latency in pixel-domain Wyner-Ziv video coders
• Removal of correlated rician noise in magnetic resonance imaging
• Skeleton analysis of population images for detection of isolated and overlapped nematode C. elegans
• Space-variant characterization of image noise in computed tomography
• The influence of speckle suppression on perceived ultrasound image quality
• The shortest path calculation between points of interest in 3-D MRI images of blood vessels
• Using phase information in ultrasound RF-signals for tissue characterization
• Video denoising by fuzzy motion and detail adaptive averaging
• A distributed coding-based content-aware multi-view video system
• A distributed coding-based extension of a mono-view to a multi-view video system
• A new fuzzy motion and detail adaptive video filter
• Active appearance model construction: implementation notes
• Analysis of the statistical dependencies in the curvelet domain and applications in image compression
• Bayesian wavelet-based denoising of multicomponent images
• Characterization of correlated noise in video sequences and its applications to noise removal
• Combined wavelet domain and motion compensated filtering compliant with video codecs
• Content adaptive wavelet based method for joint denoising of depth and luminance images
• Extending the depth of field in microscopy through curvelet-based frequency-adaptive image fusion
• Extending the depth of field in microscopy through curvelet-based image fusion under smoothness and consistency constraints
• Improved pixel-based rate allocation for pixel-domain distributed video coders without feedback channel
• Locally adaptive intrasubband interpolation of lost low frequency coefficients in wavelet coded images
• Locally adaptive reconstruction of lost low frequency coefficients in wavelet coded images - art. no. 65081R
• Low-dose CT image denoising by locally adaptive wavelet domain estimation
• Noise reduction of images with correlated noise in the complex wavelet domain
• Noise removal from images by projecting onto bases of principal components
• Novel wavelet domain features for classification of ECG peaks
• On hybrid directional transform-based intra-band image coding
• On least squares estimators under Bernoulli-Laplacian mixture priors
• Principles of automatic vision systems for tracking elongated microorganisms
• Rate allocation algorithm for pixel-domain distributed video coding without feedback channel
• Removal of correlated noise by modeling spatial correlations and interscale dependencies in the complex wavelet domain
• State of the art modulator approaches for continuous time-of-flight range finding
• Watershed data aggregation for mean-shift video segmentation - art. no. 66962C
• Wavelet based joint denoising of depth and luminance images
• Wavelet based stereo images reconstruction using depth images
• Wavelet-based denoising for 3D OCT images
• A geometrical wavelet shrinkage approach for image denoising
• A real-time optical head tracker based on 3D prediction and correction
• A real-time wavelet-domain denoising implementation in FPGA
• A review of wavelet denoising in MRI and ultrasound brain imaging
• An improved scheme for combined wavelet domain and temporal filtering
• Bayesian formulation of edge-stopping functions in nonlinear diffusion
• Content-based MPEG-4 FGS video coding for video surveillance
• Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising
• Feedback channel suppression in pixel-domain distributed video coding
• Fuzzy logic recursive motion detection and denoising of video sequences
• Intersubband reconstruction of lost low frequency coefficients in wavelet coded images
• Modeling curvelet domain inter-band image statistics with application to spatially adaptive image denoising.
• Noise estimation for video processing based on spatio-temporal gradients
• Spatially adaptive image denoising based on joint image statistics in the curvelet domain.
• Spatially adaptive image denoising based on joint image statistics in the curvelet domain.
• Supervised feature-based classification of multi-channel SAR images
• Video denoising using motion-compensated lifting wavelet transform
• Video denoising using motion-compensated lifting wavelet transform
• Wavelet domain image denoising for non-stationary noise and signal-dependent noise
• Wavelet domain image denoising for non-stationary noise and signal-dependent noise
• Wavelet domain image denoising for non-stationary noise and signal-dependent noise
• Wavelet-domain video denoising based on reliability measures
• A Bayesian approach to nonlinear diffusion based on a Laplacian prior for ideal image gradient
• A bayesian approach to nonlinear diffusion based on a laplacian prior for ideal image gradient
• Anisotropic diffusion filtering steered by bayesian framework and a laplacian prior for ideal image gradient
• FPGA design and implementation of a wavelet-domain video denoising system
• Fuzzy logic recursive change detection for tracking and denoising of video sequences
• Fuzzy logic recursive change detection for tracking and denoising of video sequences
• Image denoising by directional averaging of wavelet coefficients
• Improved passive reconstruction of wavelet-coded images through directional image correlation
• Improved segmentation of ultrasound brain tissue incorporating expert evaluation
• Improved segmentation of ultrasound brain tissue incorporating expert evaluation
• Low complexity error concealment of wavelet coded images in lossy packet networks
• Noise reduction of video sequences using fuzzy logic motion detection
• Passive error concealment for wavelet coded images adapted to a directional image correlation
• Refined noise-robust motion estimation for noise reduction in video sequences
• Wavelet domain denoising of multispectral remote sensing imagery adapted to the local spatial and spectral context
• Wavelet domain denoising of multispectral remote sensing imagery adapted to the local spatial and spectral context
• Wavelet domain noise-robust motion estimation and noise estimation for video denoising
• Combining multi-Variate statistics and speckle reduction for line detection in multi-channel SAR images
• Hierarchical Supervised Classification of Multi-Channel SAR images
• Multiresolution multispectral image denoising based on probability of presence of features of interest
• Real-time wavelet domain video denoising implemented in FPGA
• Recursive temporal denoising and motion estimation of video
• Recursive temporal denoising and motion estimation of video
• Supervised feature-based classification of multi-channel SAR images using logistic regression
• A new technique for the registration of 3-D ultrasound to CT or MR images in image guided surgery
• A versatile wavelet domain noise filtration technique for medical imaging
• Abstract "Enhancement of infrared images of buried landmines using a robust multiresolution noise filtering method
• An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images
• Combined wavelet domain and temporal video denoising
• Combined wavelet domain and temporal video denoising
• Multiscale statistical image models and Bayesian methods
• Multiscale statistical image models and Bayesian methods
• Noise reduction in video sequences using wavelet-domain and temporal filtering
• Noise reduction in video sequences using wavelet-domain and temporal filtering
• Video denoising using multiple class averaging with multiresolution
• A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
• Image denoising using wavelets and spatial context modeling
• PSF Estimation with Applications in Autofocus and Image Restoration.
• A novel method for adaptive enhancement and unsupervised segmentation of MRI brain image
• Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators
• Estimating image blur in the wavelet domain.
• Multiresolution image restoration.A filtering technique adapting to unknown type of noise
• The application of Markov Random Field Models to wavelet-based Image denoising.
• A new restoration method and its application to speckle images
• A new restoration method and its application to speckle images.
• A spatially adaptive image denoising technique using the wavelet transform
• A speckle suppression method for medical ultrasound images based on local statistics.
• A wavelet-based image denoising technique using spatial priors
• A wavelet-based image denoising technique using spatial priors.
• An application of a wavelet-based denoising method to temporal radar imagery.
• An image denoising technique using wavelets and spatial priors
• Detecting variable source areas from temporal radar imagery using advanced image enhancement techniques
• Implementation of a new filter based on simplified rules for removing Gaussian noise
• Implementation of a new filter based on simplified spatial rules for removing noise
• Segmentation flares in ultrasound images
• The application of wavelet-based filtering techniques for retrieving bio-physical parameters from multi-temporal ERS-images
• Wavelet based denoising techniques for ultrasound images
• Wavelet based denoising techniques for ultrasound images
• An application of wavelet-based denoising method to infrared images of landmines
• Enhancement of infrared and GPR images of landmines
• Enhancement of noisy images using a multiscale edge reconstruction technique
• Image de-noising in the wavelet domain using prior spatial constraints
• Image de-noising in the wavelet domain using prior spatial constraints
• Image denoising using a multiscale nonlinear filtering technique
• Speckle noise reduction in GPR images.