《圖像融合（英文版）》是2023年9月上海交通大學出版社出版的圖書，作者是肖剛、[印]杜卡·普拉薩德·巴維瑞瑟特（Durga Prasad Bavirisetti）、劉剛 、張星辰。
基本介紹
- 中文名：圖像融合（英文版）
- 作者：肖剛、[印]杜卡·普拉薩德·巴維瑞瑟特（Durga Prasad Bavirisetti）、劉剛 、張星辰
- 出版時間：2023年9月
- 出版社：上海交通大學出版社
- ISBN：9787323241320
- 定價：300 元
內容簡介,圖書目錄,
內容簡介
本書是“大飛機出版工程”系列圖書之一。本書評述了圖像融合研究領域的最新動態，以圖像融合體系一像素級、特徵級、決策級融合為主線，系統介紹圖像融合的基本概念、基本理論、最新研究成果及套用實例。全書共1章，上篇為理論研究篇，主要內容有：圖像融合概念、基本原理和結構；圖像融合預處理；多源圖像像素級、特徵級、決策級融合方法；多源圖像最佳化融合；多源動態圖像融合；多源圖像融合評價方法。下篇為套用實踐篇，主要內容有：多源圖像融合實例工一一合成孔徑雷達與前視紅外圖像融合系統；多源圖像融合實例Ⅱ—一空間信息處理開發平台。本書是作者在近些年致力於圖像融合研究工作的基礎上撰寫而成的，集中反映了作者及其研究團隊的最新研究成果，也在一定程度上反映了國內外在圖像融合領域的最新研究進展。本書可作為高等學校高年級本科生、研究生學習圖像融合的教材和教學參考書，也可作為從事圖像融合研究和套用的科技人員的參考書。
圖書目錄
Part I Image Fusion Theories
Chapter 1 Introduction to Image Fusion 3
1.1 History and Development 5
1.1.1 History 5
1.1.2 Development 6
1.2 Image Fusion Fundamentals 7
1.2.1 Necessity to Combine Information of Images 8
1. 2.2 Definition of Image Fusion 11
1.2.3 Image Fusion Objective 12
1.3 Categorization 13
1.4 Fundamental Steps of an Image Fusion System 15
1.5 Types of Image Fusion Systems 16
1.6 Applications 18
1.7 Summary and Outline of the Book 21
References 22
Chapter 2 Pixel-Level Image Fusion 26
2.1 Introduction 26
2.1. 1 Single-Scale Image Fusion 27
2. 1.2 Multi-Scale Image Fusion 29
2.2 Pyramid Image Fusion Method Based on Integrated Edge
and Texture Information 36
2.2.1 Background 36
2.2.2 Fusion Framework 36
2.2.3 Pyramid Image Fusion of Edge and Texture Information-Specific Steps 37
2.2. 4 Beneficial Effects 40
2.3. Image Fusion Method Based on the Expected Maximum andDiserete Wavelet Frames 41
2. 3.1 Introduction 41
2.3.2 Discrete Wavelet Frame Multi-resolution Transform43
2.3.3 Basic Structure of the New Fusion Scheme 44
2.3.4 Fusion of the Low-Frequency Band Using the EMAlgorithm 46
2.3.5 The Selection of the High-Frequency Band Using theInformative Importance Measure 51
2.3.6 Computer Simulation 53
2.3.7 Conclusions 61
2.4 Image Fusion Method Based on Optimal Wavelet FilterBanks 61
2.4.1 Introduction 61
2.4.2 The Generic Multi-Resolution Image FusionAlgorithm 62
2.4. 3 Design Criteria of Filter Banks 63
2.4.4 Optimization Design of Filter Bank for Image Fusion65
2.4.5 Experiments 69
2.4.6 Conclusion 73
2.5 Anisotropic Diffusion-Based Fusion of Infrared and VisibleSensor Images (ADF) 74
2. 5.1 Anisotropic Diffusion 75
2.5. 2 Anisotropic Diffusion-Based Fusion Method (ADF) 78
2.5. 3 Experimental Setup 80
2.5. 4 Results and Analysis 83
2.6 Two-Scale Image Fusion of Infrared and Visible ImagesUsing Saliency Detection 88
2.6.1 Two-Scale Image Fusion (TIF) 89
2. 6. 2 Experimental Setup 95
2.6. 3 Results and Analysis 96
2.7 Multi-focus Image Fusion Using Maximum SymmetricSurround Saliency Detection (MSSSF) 102
2.7.1_ Maximum Symmetric Surround Saliency Detection(MSSS) 102
2.7.2 MSSS Detection-Based Image Fusion (MSSSF) 106
2.7.3 Experimental Setup 110
2.7.4_ Results and Analysis 111References 119
Chapter 3 Feature-Level Image Fusion 123
3.1 Introduction 123
3.2 Fusion Based on Grads Texture Characteristic 127
3.2. 1_ Multi-Scale Transformation Method Based on GradientFeatures 127
3.2.2 Multi-Scale Transformation Based on Gradient FeatureFusion Strategy 129
3.3 Fusion Based on United Texture and GradientCharacteristies 131
3.3.1 Joint Texture and Gradient Features of Multi-ScaleTransformation Method 132
3.3.2 Multi-Scale Image Fusion Method Based on GradientFeature 137
3.4 Fusion Algorithm Based on Fuzzy Regional Characteristics146
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