Image Super-Resolution and Applications
Autor Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamyen Limba Engleză Paperback – 19 sep 2019
Instead of approaching image interpolation as either a polynomial-based problem or an inverse problem, this book breaks the mold and compares and contrasts the two approaches. It presents two directions for image super-resolution: super-resolution with a priori information and blind super-resolution reconstruction of images. It also devotes chapters to the two complementary steps used to obtain high-resolution images: image registration and image fusion.
- Details techniques for color image interpolation and interpolation for pattern recognition
- Analyzes image interpolation as an inverse problem
- Presents image registration methodologies
- Considers image fusion and its application in image super resolution
- Includes simulation experiments along with the required MATLAB® code
Supplying complete coverage of image-super resolution and its applications, the book illustrates applications for image interpolation and super-resolution in medical and satellite image processing. It uses MATLAB® programs to present various techniques, including polynomial image interpolation and adaptive polynomial image interpolation. MATLAB codes for most of the simulation experiments supplied in the book are included in the appendix.
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Specificații
ISBN-13: 9780367380496
ISBN-10: 0367380498
Pagini: 504
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0367380498
Pagini: 504
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Academic and Professional Practice & DevelopmentCuprins
Introduction. Polynomial Image Interpolation. Adaptive Polynomial Image Interpolation. A Neural Modeling Method for Polynomial Image Interpolation. Color Image Interpolation. Image Interpolation for Pattern Recognition. Image Interpolation as an Inverse Problem. Image Registration Methodologies. Image Fusion and Its Application in Image Super Resolution. Image Super Resolution with A Priori Information. Blind Image Super Resolution.
Notă biografică
Fathi E. Abd El-Samie, earned his BSc (Hons) in 1998, MSc in 2001, and PhD in 2005 all from Menoufia University, Menouf, Egypt. Since 2005, he has been a teaching staff member with the Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University. He is a coauthor of 160 papers published in international conference proceedings and journals.
His current research areas of interest include image enhancement, image restoration, image interpolation, super-resolution reconstruction of images, data hiding, multimedia communications, medical image processing, optical signal processing, and digital communications. Dr. Abd El-Samie was a recipient of the Most Cited Paper Award from the Digital Signal Processing journal in 2008.
Mohiy M. Hadhoud PhD, received his BSc (Hons) in 1976 and MSc in 1981 from the Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt, and his PhD from Southampton University in 1987. He joined the teaching staff of the Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt from 1981 to 2001. He is currently a professor in the Department of Information Technology, Faculty of Computers and Information, Menoufia University, Shiben El-Kom.
Dr. Hadhoud has published more than 100 scientific papers in national and international conferences and journals. His current research areas of interest include adaptive signal and image processing techniques, image enhancement, image restoration, super-resolution reconstruction of images, data hiding and image coloring.
Said El-Khamy PhD, received his PhD from the University of Massachusetts, Amherst, in 1971. He is currently a professor emeritus, Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt. He served as the Chairman of the Electrica
His current research areas of interest include image enhancement, image restoration, image interpolation, super-resolution reconstruction of images, data hiding, multimedia communications, medical image processing, optical signal processing, and digital communications. Dr. Abd El-Samie was a recipient of the Most Cited Paper Award from the Digital Signal Processing journal in 2008.
Mohiy M. Hadhoud PhD, received his BSc (Hons) in 1976 and MSc in 1981 from the Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt, and his PhD from Southampton University in 1987. He joined the teaching staff of the Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt from 1981 to 2001. He is currently a professor in the Department of Information Technology, Faculty of Computers and Information, Menoufia University, Shiben El-Kom.
Dr. Hadhoud has published more than 100 scientific papers in national and international conferences and journals. His current research areas of interest include adaptive signal and image processing techniques, image enhancement, image restoration, super-resolution reconstruction of images, data hiding and image coloring.
Said El-Khamy PhD, received his PhD from the University of Massachusetts, Amherst, in 1971. He is currently a professor emeritus, Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt. He served as the Chairman of the Electrica
Descriere
Image super-resolution is the process by which a single HR image is obtained from multiple degraded LR images. Image super-resolution can be carried out with or without a priori information. The problem of super-resolution reconstruction of images can be solved in successive steps: image registration, multi-channel image restoration, image fusion, and, finally, image interpolation. This book provides complete coverage of image super-resolution and its applications. With MATLAB® programs, the text presents various techniques polynomial image interpolation, adaptive polynomial image interpolation, and color image interpolation. It also analyzes image interpolation for pattern recognition.