Digital Image Enhancement and Reconstruction
Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain...
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Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image,analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.
Bibliographische Angaben
- Herausgegeben:Rajput, Shyam Singh; Khan, Nafis Uddin; Singh, Amit Kumar; Arya, Karm Veer
- Verlag: Academic Press
- EAN: 9780323983709
Autoren-Porträt
Dr. Rajput earned his PhD in Computer Science & Engineering from ABV-Indian Institute of Information Technology & Management (ABV-IIITM), Gwalior, India. He has more than four years of teaching experience with undergraduate and postgraduate classes. Presently he is working as an assistant professor in CSE Department, National Institute of Technology Patna, India. His current research interests include image processing and computer vision. He has published more than 25 journal and conference articles in the areas of image processing, biometrics, wireless ad hoc networks, and information security.Dr. Khan received his Ph.D. in Computer Science & Engineering from ABV- Indian Institute of Information Technology and Management, Gwalior. He is currently Assistant Professor in the Department of ECE, Jaypee University of Information Technology, Solan. His areas of research interest include digital signal and image processing, adaptive image processing and fuzzy based applications in image processing. He has more than 5 years of teaching experience of undergraduate and post graduate level Engineering courses. He has published 14 research papers in various journals and conferences of national and international repute.
Inhaltsverzeichnis zu „Digital Image Enhancement and Reconstruction “
1. Fundamentals of Image Enhancement: Techniques and applications2. Fundamentals of Image Reconstruction: Concepts and Challenges
3. Soft Computing based Image Reconstruction and Enhancement
4. Image Enhancement for Underwater Images
5. Image Enhancement and Reconstruction for Smart Healthcare
6. Super-resolution of medical images - to come
7. Image Enhancement Techniques Used in Remote Sensing Satellite Imagery
8. Low Contrast Image Enhancement
9. Image Dehazing - to come
10. AI for Image enhancement and reconstruction - to come
11. Enhancement and Reconstruction of Night Vision Images
12. Color Image Reconstruction and Enhancement
13. Video Enhancement and Super-resolution
14. Biometric Image Enhancement and Reconstruction
15. 3D Image Reconstruction and Enhancement
16. Deep-Learning-Based Image Reconstruction and Enhancement
17. Image Reconstruction and Enhancement for Retinal Fundus Images
18. Image Enhancement in Agriculture
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