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Sparse coding based image restoration and recognition algorithms and analysis
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Ngày đăng: 09/09/2015, 11:26
Xem thêm: Sparse coding based image restoration and recognition algorithms and analysis
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Mục lục
1 Introduction
1.1 Background
1.1.1 Dictionary learning for image restoration and recognition
1.2 Motivations and contributions of the dissertation
1.2.1 Data-driven tight frame construction
2.2 Brief review on data-driven tight frame construction and related works
2.2.1 Tight frames and data-driven tight frames
2.2.2 Data-driven tight frame construction scheme
2.3 Sub-sequence convergence property of Algorithm 1
2.4 A modified algorithm for (2.7) with sequence convergence
2.4.1 Convergence analysis of Algorithm 2
2.5 Experiments on image denoising
2.6.3 Complexity analysis of Algorithm 3
2.6.4 Applications in image restoration
3.4 Global convergence of Algorithm 6
4 Incoherent dictionary learning for image recognition
4.1 Introduction
4.1.1 Motivation and main contributions
4.2.2 A hybrid alternating proximal algorithm
4.3 Convergence analysis of Algorithm 7
5.3 Introduction to L1 Tracker
5.4 Real time L1 Tracker
5.4.1 A modified 1 norm related minimization model
5.5 Experiments
5.5.1 Comparison with the existing L1 Tracker
5.5.2 Qualitative comparison with other methods
5.5.3 Quantitative comparison with other methods
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