Contents

Kapitel in diesem Buch

1. Frontmatter I
2. Contents V
3. List of Authors IX
4. 1 Medical Image Processing: A Multimodal Fusion Technique 1
5. 2 Image Fusion Mathematics Theory and Practice 21
6. 3 Current Trends in High-Resolution Image Reconstruction 43
7. 4 Image Fusion Through Multiresolution Oversampled Decompositions 59
8. 5 Mathematical Models for Remote Sensing Image Processing 75
9. 6 Component Analysis and Medical Image Fusion 91
10. 7 Soft Computing Approaches to Medical Image Fusion 105
11. 8 Mathematical Techniques in Multispectral Image Fusion 119
12. 9 Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing 135
13. 10 Fusion of Multispectral and Panchromatic Images as an Optimization Problem 151
14. 11 Image Fusion Using Optimization of Statistical Measurements 167
15. 12 Empirical Mode Decomposition for Simultaneous Image Enhancement and Fusion 183
16. 13 Multimodality Sensor Image Fusion 189
17. 14 Medical Image Fusion Method by Deep Learning 207
18. 15 Quaternion-Based Sparse Techniques for Multimodal and Multispectral Image Processing 223
19. 16 Quaternion Neural Networks for Geometrical Operators in High-Dimensional Quaternion Space 239
20. 17 Image Dehazing Using Quaternion Complex Algebra-Based Neural Networks 255
21. 18 Deep Learning Model for Image Fusion and Accurate Classification of Remote Sensing Images 271
22. 19 Multimodal Medical Supervised Image Fusion Method 297
23. 20 Medical Image Fusion Using Deep Learning Mechanisms 315
24. 21 Multifocus Image Fusion Using Content-Adaptive Blurring 339
25. 22 Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function 349
26. 23 Performance Evaluation of Image Fusion Techniques 361
27. Index 373