(Downloads - 0)
For more info about our services contact : help@bestpfe.com
Table of contents
Résumé
Abstract
Table of content
List of Figures
List of Tables
List of Algorithms
List of Abbreviations
1 Introduction
1.1 Main Objectives of the Thesis
1.2 Thesis Outline
2 Sparsity-Based Signal Models
2.1 Abstract
2.2 Introduction
2.3 Sparse Modeling using Over-complete Dictionaries
2.3.1 Dictionary Choice
2.3.2 Analysis versus Synthesis
2.4 Inverse Problems
2.5 CS-based Image Acquisition and Analysis Sparse Reconstruction .
2.6 Block-based CS Reconstruction
3 Image Compressed Sensing Recovery
3.1 Introduction
3.1.1 Contributions
3.1.2 Adaptive block-based CS recovery
3.1.3 Saliency-based BCS recovery
3.2 Residual-based Image CS Reconstruction Algorithms
3.2.1 Residual-based CS reconstruction using intra-image prediction .
3.2.2 Residual-based compressed sensing recovery using a trained dictionary
3.3 Experimental Results
3.4 Conclusion
4 Receiver-based Error Concealment
4.1 Introduction
4.1.1 Previous Works on Error Concealment
4.1.2 Joint Sparse Representation (JSR)
4.1.3 Contributions
4.2 Joint Sparse Representation for EC
4.2.1 Problem Formulation
4.2.2 Joint Dictionay-Mapping Learning
4.2.3 The JSR based EC
4.2.4 Block Recovery Order
4.3 JSR-based EC with Non-local and Local Regularization
4.3.1 Non-local Self-similarity for Regularization
4.3.2 Local Structural Regularity for Regularization
4.3.3 Recovery Algorithm
4.3.4 Discussion
4.4 Experimental Study
4.4.1 Training Sets Description
4.4.2 Experimental Setup
4.4.3 EC Quality
4.4.4 Computational Costs
4.4.5 Performance Analysis of the Proposed Algorithm
4.5 Conclusion
5 Transmitter-based Error Concealment
5.1 Inroduction
5.2 Analysis Sparse Recovery-based EC
5.2.1 Transmitter Side
5.2.2 Receiver Side
5.2.3 Discussion
5.2.4 Experimental Results
5.2.5 Reconstruction Quality
5.2.6 Packet length Effect
5.2.7 Wavelet Functions Effect
5.2.8 SB Size Effect
5.2.9 Comparison
5.3 Conclusion
6 Sparse Representation-based Image Compression
6.1 Introduction
6.1.1 Related Work
6.1.2 Contributions
6.2 Image Compression using Adaptive Sparse Representations
6.2.1 Adaptive Synthesis Sparse Representation
6.2.2 Quantization and Entropy Coding
6.3 Experimental Results
6.4 Conclusion
7 Conclusion and Future Directions
Publications
Appendices
Bibliographie
