Lukic, A.S.
* 2002: ICA algorithm for analyzing multiple data sets, An
* 2002: reversible jump markov chain monte carlo algorithm for analysis of functional neuroimages, A
* 2007: Bayesian Kernel Methods for Analysis of Functional Neuroimages
* 2007: Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages
Lukic, T.[Tibor]
* 2008: Deterministic Defuzzification Based on Spectral Projected Gradient Optimization
* 2010: De-noising of SRµCT Fiber Images by Total Variation Minimization
* 2011: Discrete Tomography Reconstruction Based on the Multi-well Potential
* 2012: Energy-Minimization Based Discrete Tomography Reconstruction Method for Images on Triangular Grid
* 2014: Deterministic discrete tomography reconstruction by energy minimization method on the triangular grid
* 2016: Binary tomography reconstruction based on shape orientation
* 2017: Gradient and Graph Cuts Based Method for Multi-level Discrete Tomography
* 2020: Binary tomography on the isometric tessellation involving pixel shape orientation
* 2020: Graph Cuts Based Tomography Enhanced by Shape Orientation
* 2022: Assessment of Groundwater Potential Zones Using GIS and Fuzzy AHP Techniques: A Case Study of the Titel Municipality (Northern Serbia)
* 2022: Tomography Reconstruction Based on Null Space Search
Includes: Lukic, T.[Tibor] Lukic, T.[Tin]
11 for Lukic, T.
Lukierski, R.[Robert]
* 2013: Dense, Auto-Calibrating Visual Odometry from a Downward-Looking Camera
Lukin, A.S.[Alexey S.]
* 2009: Edge-preserving nonlinear iterative image resampling method
Lukin, V.
* 2010: Statistical evaluation of no-reference image visual quality metrics
* 2011: HVS-metric-based performance analysis of image denoising algorithms
* 2011: Self-Similarity Measure for Assessment of Image Visual Quality
* 2013: New Color Image Database TID2013: Innovations and Results, A
* 2014: On required accuracy of mixed noise parameter estimation for image enhancement via denoising
* 2015: Image database TID2013: Peculiarities, results and perspectives
* 2016: Efficiency of texture image filtering and its prediction
* 2018: NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network
* 2019: Editorial to Special Issue Multispectral Image Acquisition, Processing, and Analysis
* 2019: Enhancement of Component Images of Multispectral Data by Denoising with Reference
* 2020: Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty
* 2020: Full-Reference Quality Metric Based on Neural Network to Assess the Visual Quality of Remote Sensing Images
* 2021: Editorial to Special Issue Remote Sensing Data Compression
* 2021: Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images
* 2022: Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control
* 2022: Editorial to Special Issue Remote Sensing Image Denoising, Restoration and Reconstruction
* 2022: Quality Control for the BPG Lossy Compression of Three-Channel Remote Sensing Images
* 2023: BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters
Includes: Lukin, V. Lukin, V.[Vladimir]
18 for Lukin, V.
Lukin, V.P.[Vladimir P.]
* 2022: Atmospheric Conditions within Big Telescope Alt-Azimuthal Region and Possibilities of Astronomical Observations
Lukin, V.V.
* 1996: Digital Adaptive Robust Algorithms for Radar Image Filtering
* 1997: Nonlinear Locally Adaptive and Iterative Algorithms of Image Restoration
* 2001: Lossless Acceleration of Fractal Compression Using Domain and Range Block Local Variance Analysis
* 2001: Training-based Optimization Framework for Misclassification Correction, A
* 2003: Compression of image block means for non-equal block partition schemes using Delaunay triangulation and prediction
* 2003: Removing Impulse Bursts from Images by Training-Based Filtering
* 2005: DCT Based High Quality Image Compression
* 2006: Approaches to Classification of Multichannel Images
* 2006: Automatic Design of Locally Adaptive Filters for Pre-processing of Images Subject to Further Interpretation
* 2006: Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise
* 2006: Robust DFT With High Breakdown Point for Complex-Valued Impulse Noise Environment
* 2007: Automatic Approach to Lossy Cmpression of AVIRIS Images, An
* 2007: High-Quality DCT-Based Image Compression Using Partition Schemes
* 2007: Robust DFT-based filtering of pulse-like FM signals corrupted by impulsive noise
* 2009: Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise
* 2009: novel clipping technique for filtering FM signals embedded in intensive noise, A
* 2010: Improved Grouping and Noise Cancellation for Automatic Lossy Compression of AVIRIS Images
* 2013: Adaptive visually lossless JPEG-based color image compression
* 2014: Efficiency of DCT-Based Denoising Techniques Applied to Texture Images
* 2015: Non-local Sigma Filter
* 2016: Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model
* 2016: Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales
* 2020: Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model
Includes: Lukin, V.V. Lukin, V.V.[Vladimir V.]
23 for Lukin, V.V.
Lukins, G.
* 1997: Fuzzy System Improves the Performance of Wavelet-Based Correlation Detectors
Lukins, T.C.
* 2005: Colour Constrained 4D Flow
* 2006: Qualitative Characterization of Deforming Surfaces
* 2007: Towards Automated Visual Assessment of Progress in Construction Projects
* 2008: Identifying semi-Invariant Features on Mouse Contours