Contents

Chapters in this book

1. Frontmatter I
2. Preface V
3. Contents VII
4. Section: Image processing
5. Chapter 1 Magnetic resonance image re-parameterization on real data 1
6. Chapter 2 Denoising and gradient fusion for effective edge detection for noisy color images 17
7. Chapter 3 Understanding driver attention to objects for ADASs: what do drivers see? 39
8. Chapter 4 Image clustering enhanced with refined image classification 59
9. Chapter 5 AI-powered framework for objective scoring of product design innovation 89
10. Section: Computer vision
11. Chapter 6 Image inpainting using GAN transformerbased model 111
12. Chapter 7 Enhanced image watermarking through cross-attention and noise-invariant domain learning 127
13. Chapter 8 Online melt pool monitoring using a deep transformer image processing solution 153
14. Chapter 9 Implementation of deep learning techniques on thermal image classification 173
15. Chapter 10 Drishti: a generative AI-based application for gesture recognition and execution 203
16. Section: Pattern recognition
17. Chapter 11 Exploring muzzle biometrics: a deep learning framework for noninvasive cattle recognition 239
18. Chapter 12 Utilizing real-world data to develop a userindependent sensor-based human activity recognition system 253
19. Index 273