Part I Image Fusion Theories

 Chapter 1 Introduction to Image Fusion

 1.1 History and Development

 1.1.1 History

 1.1.2 Development

 1.2 Image Fusion Fundamentals

 1.2.1 Necessity to Combine Information of Images

 1.2.2 Definition of Image Fusion

 1.2.3 Image Fusion Objective

 1.3 Categorization

 1.4 Fundamental Steps of an Image Fusion System

 1.5 Types of Image Fusion Systems

 1.6 Applications

 1.7 Summary and Outline of the Book

 References

 Chapter 2 Pixel-Level Image Fusion

 2.1 Introduction

 2.1.1 Single-Scale Image Fusion

 2.1.2 Multi-Scale Image Fusion

 2.2 Pyramid Image Fusion Metho d Based on Integrated Edgeand Texture Information

 2.2.1 Background

 2.2.2 Fusion Framework

 2.2.3 Pyramid Image Fusion of Edge and Texture Information-Specific Steps

 2.2.4 Beneficial Effects

 2.3 Image Fusion Metho d Based on the Expected Maximum and Discrete Wavelet Frames

 2.3.1 Introduction

 2.3.2 Discrete Wavelet Frame Multi-resolution Transform

 2.3.3 Basic Structure of the New Fusion Scheme

 2.3.4 Fusion of the Low-Frequency Band Using the EM Algorith m

 2.3.5 The Selection of the High-Frequency Band Using the Informative Importance Measure

 2.3.6 Computer Simulation

 2.3.7 Conclusions

 2.4 Image Fusion Method Based on Optimal Wavelet Filter Banks

 2.4.1 Introduction

 2.4.2 The Generic Multi-Resolution Image Fusion Algorithm

 2.4.3 Design Criteria of Filter Banks

 2.4.4 Optimization Design of Filter Bank for Image Fusion

 2.4.5 Experiments

 2.4.6 Conclusion

 2.5 Anisotropic Diffusion-Based Fusion of Infrared and Visible Sensor Images（ADF）

 2.5.1 Anisotropi c Diffusion

 2.5.2 Anisotropic Diffusion-Based Fusion Method（ADF）

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Part II Experimental Examples