Rabu, 17 Februari 2016

> Ebook Image Super-Resolution and Applications, by Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy

Ebook Image Super-Resolution and Applications, by Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy

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Image Super-Resolution and Applications, by Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy

Image Super-Resolution and Applications, by Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy



Image Super-Resolution and Applications, by Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy

Ebook Image Super-Resolution and Applications, by Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy

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Image Super-Resolution and Applications, by Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy

This book is devoted to the issue of image super-resolution—obtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, there’s been a need for a book that establishes a common thread between the two processes. Filling this need, Image Super-Resolution and Applications presents image interpolation as a building block in the super-resolution reconstruction process.

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.

  • Sales Rank: #3315146 in eBooks
  • Published on: 2012-12-15
  • Released on: 2012-12-15
  • Format: Kindle eBook

About the Author

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 Electrical Engineering Department from September 2000 to September 2003. While on academic leaves, he taught in Saudi Arabia, Iraq, Lebanon, and the Arab Academy for Science and Technology (AAST).

His current research areas of interest include mobile and personal communications, wave propagation in different media, smart antenna arrays, image processing and watermarking, modern signal processing techniques including neural networks, wavelets, genetic algorithms, fractals, HOS and fuzzy algorithms, and their applications in image processing, communication systems, antenna design and wave propagation problems. He has published more than 300 scientific papers in national and international conferences and journals.

Dr. El-Khamy participated in the organization of many local and international conferences including the yearly series of NRSC (URSI), ISCC 1995, ISCC 1997, ISSPIT 2000, and MELECON 2002. He also chaired technical sessions in many local and international conferences including, ISSSTA 1996, Mainz, Germany, Sept. 1966; IGARSS’98, Seattle, Washington, USA, July 1998 and AP-S’99, Orlando, Florida, USA, July 1999. He is the chairman of the National Radio Science conferences (NRSC2011 and NRSC2012).

He has earned many national and international research awards among which are the Alexandria University Research Award, 1979, the IEEE, R.W.P. King best paper award of the Antennas and Propagation Society of IEEE, in 1980, the Egypt’s National Engineering Research award (twice) in 1980 and 1989, the Egypt’s State Science & Art Decoration of the first class, 1981, the A. Schoman’s - Jordan’s award for Engineering Research in 1982, the Egypt’s state Excellence Decoration of the first class in 1995. He was selected as the National Communication Personality for 2002. Recently, he received three major prestigious national prizes, namely, the State Scientific Excellence award in Engineering Sciences for 2002, the Alexandria University Appreciation of Engineering Sciences for 2004 and finally, the State Appreciation Award of Engineering Sciences for 2004 and the IEEE Region 8 Volunteer Award for 2011.

Prof. El-Khamy is a Fellow Member of the IEEE since 1999 and he obtained the IEEE Life Fellow certificate in 2010. He is a Fellow of the Electromagnetic Academy and a member of Tau Beta Pi, Eta Kappa Nu and Sigma Xi. He is the founder and former chairman of the Alexandria/Egypt IEEE Subsection. Currently, he is the president of Egypt’s National URSI Committee (NRSC) and Egypt’s National URSI Correspondent for Commission C.

Most helpful customer reviews

2 of 2 people found the following review helpful.
printed Matlab Code without comments
By inho
come on! why isn't there a data disc with the matlab projects instead of printing it on pages.
i can't use them. and it's way too much work to type it into MATLAB (about 10 pages of pure
code each app.)
Furthermore there are no comments on the code... so how could i ever understand it?

See all 1 customer reviews...

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