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Han, Juanjuan: The applications of compressive sensing in multi-modal images. 2014
Inhalt
Abstract
Kurzfassung
Acknowledgments
Contents
List of Abbreviations
List of Figures
List of Tables
1 Introduction
1.1 Motivation
1.2 Objective of the thesis
1.3 Thesis contributions and outline
2 Background
2.1 Compressive sensing
2.1.1 Sparse signal
2.1.2 Compressive measurements
2.1.3 Sparse signal reconstruction
2.2 Low-rank and sparse matrix decomposition
2.3 Chapter summary
3 Multi-image fusion
3.1 Related work
3.2 Fusion scheme
3.2.1 Image sparse representation
3.2.2 Sampling
3.2.3 Fusion
3.3 Experimental results
3.3.1 Perceptual quality evaluation
3.3.2 Objective quantity evaluation
3.4 Chapter summary
4 Super-resolution of depth image
4.1 Range/Depth imaging
4.2 Related work
4.3 Proposed strategy
4.3.1 Analysis of problem model
4.3.2 Compressive sensing model
4.3.3 Super-resolution modeling via compressive sensing
4.4 Experimental results
4.4.1 Simulated results
4.4.2 Real depth image
4.5 Chapter summary
5 Sensing change in multimodal images
5.1 Multimodal image
5.1.1 2D/3D vision system
5.1.2 MultiCam
5.2 Related work
5.3 Sensing change by sparse feature reconstruction
5.3.1 Image matrix decomposition
5.3.2 Modeling change as sparse feature
5.3.3 Sparse feature reconstruction
5.4 Experimental results
5.5 Chapter summary
6 Summary and discussion
6.1 Summary
6.2 Discussion and outlook
Bibliography
Relevant publications
A.1
A.2
A.3
A.4