Image fusion. ([2020])

• Record Type: Book
• Further Information: Note: Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang.
• Authors: Xiao, Gang; Bavirisetti, Durga Prasad; Liu, Gang; Zhang, Xingchen
• Contents: Intro -- Preface -- Acknowledgments -- Contents -- About the Authors -- 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 -- 2.1.2.1 Pyramid-Based Fusion -- 2.1.2.2 Wavelet Transform-Based Fusion -- 2.1.2.3 Filtering-Based Fusion -- 2.2 Pyramid Image Fusion Method Based on Integrated Edge and 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 Method 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 Algorithm -- 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 Anisotropic Diffusion -- 2.5.2 Anisotropic Diffusion-Based Fusion Method (ADF) -- 2.5.2.1 Extracting Base and Detail Layers -- 2.5.2.2 Detail Layer Fusion Based on KL Transform -- 2.5.2.3 Base Layer Fusion -- 2.5.2.4 Super Position of Final Detail and Base Layers -- 2.5.3 Experimental Setup -- 2.5.3.1 Image Database -- 2.5.3.2 Fusion Metrics -- 2.5.3.3 Methods for Comparison -- 2.5.3.4 Effect of Free Parameters on the ADF Method -- 2.5.4 Results and Analysis -- 2.5.4.1 Qualitative Analysis 2.5.4.2 Quantitative Analysis -- 2.5.4.3 Computational Time -- 2.6 Two-Scale Image Fusion of Infrared and Visible Images Using Saliency Detection -- 2.6.1 Two-Scale Image Fusion (TIF) -- 2.6.1.1 Two-Scale Image Decomposition -- 2.6.1.2 Visual Saliency Detection -- 2.6.1.3 Weight Map Construction -- 2.6.1.4 Detail Layer Fusion -- 2.6.1.5 Base Layer Fusion -- 2.6.1.6 Two-Scale Image Reconstruction -- 2.6.1.7 Color Image Fusion -- 2.6.2 Experimental Setup -- 2.6.2.1 Image Database -- 2.6.2.2 Other Methods for Comparison -- 2.6.2.3 Objective Fusion Metrics -- 2.6.2.4 Parameter Analysis -- 2.6.3 Results and Analysis
• Publisher Details: Singapore Shanghai, China : Springer Shanghai Jiao Tong University Press
• Publication Date: 2020
• Extent: 1 online resource (415 pages)
• Subjects: 006.3/7; Optical data processing; Multispectral imaging; Computer vision; Image Processing and Computer Vision; Electronic books
• Languages: English
• ISBNs: 9789811548673; 9811548676
• Related ISBNs: 9811548668; 9789811548666
• Notes: Note: Includes bibliographical references.; Note: Description based on online resource; title from digital title page (viewed on October 16, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.