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.
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Table of Contents
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
Authors
Shyam Singh Rajput Assistant Professor, CSE Department, National Institute of Technology, Patna, Bihar, India. 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. Nafis Uddin Khan Assistant Professor, Department of ECE, Jaypee University of Information Technology, Solan, India. 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. Amit Kumar Singh Associate Professor, Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India.Amit Kumar Singh is an associate professor at the Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India. Dr. Singh have been recognized as "World Ranking of Top 2% Scientists" in the area of "Biomedical Research" (for Year 2019) and "Artificial Intelligence & Image Processing" (for the Year 2020 and 2021) according to the survey given by Stanford University, USA. Currently, Dr. Singh is the Associate Editor of IEEE Trans. on Multimedia, ACM Trans. Multimedia Comput. Commun. Appl., IEEE Trans. Computat. Social Syst., IEEE Trans. Ind. Informat., IEEE J. Biomed. Heal. Informatics Etc. His research interests include multimedia data hiding, image processing, compression, biometrics, Cryptography.
Karm Veer Arya Professor of Computer Science, ABV Indian Institute of Information Technology and Management, Gwalior, India. Dr. Arya received his PhD in Computer Science & Engineering from the Indian Institute of Technology (I.I.T. Kanpur), Kanpur, India. He is now Professor of Computer Science at ABV-Indian Institute of Information Technology & Management (IIITM), Gwalior. He also served as Dean of Postgraduate Studies & Research at AKTU Lucknow. He has more than 29 years of experience teach undergraduate and postgraduate students and has guided more than 100 PhD and MTech dissertations. He has published 11 book chapters and more than 150 journal and conference papers in the fields of image processing, biometrics, and information security. Dr. Arya is co-author of the book, Security in Mobile Ad-hoc Networks, and editor of two books, Emerging Wireless Communication and Biometric Computing. Dr. Arya is on the editorial board of numerous international journals and a member of the organizing committee and program committees for various national and international conferences and workshops. He a is Senior Member of IEEE, Fellow of IETE, Fellow of IE, and Life Member of ISTE.
