Image Super-Resolution and Applications: 1st Edition (Hardback) book cover

Image Super-Resolution and Applications

1st Edition

By Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy

CRC Press

502 pages | 269 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781466557963
pub: 2012-12-15
eBook (VitalSource) : 9780429088216
pub: 2012-12-15
from $28.98

FREE Standard Shipping!


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.

Table of Contents


Image Interpolation

Image Super-Resolution

Polynomial Image Interpolation


Classical Image Interpolation

B-Spline Image Interpolation

Polynomial Splines

B-Spline Variants

Nearest Neighbor Interpolation

Linear Interpolation

Cubic Spline Interpolation

Digital Filter Implementation of B-Spline Interpolation

O-MOMS Interpolation

Keys’ (Bicubic) Interpolation

Artifacts of Polynomial Image Interpolation





Adaptive Polynomial Image Interpolation


Low-Resolution Image Degradation Model

Linear Space-Invariant Image Interpolation

Warped-Distance Image Interpolation

Weighted Image Interpolation

Iterative Image Interpolation

Simulation Examples

Neural Modeling of Polynomial Image Interpolation


Fundamentals of ANNs





Activation Rules

Activation Functions

Identity Function

Step Function

Sigmoid Function

Piecewise-Linear Function

Arc Tangent Function

Hyperbolic Tangent Function


Learning Rules

Supervised Learning

Unsupervised Learning

Neural Network Structures

Multi-Layer Perceptrons

Radial Basis Function Networks

Wavelet Neural Network

Recurrent ANNs

Training Algorithm

Neural Image Interpolation

Simulation Examples

Color Image Interpolation


Color Filter Arrays

White Balance

Bayer Interpolation

Linear Interpolation with Laplacian Second Order Correction

Adaptive Color Image Interpolation

Image Interpolation for Pattern Recognition


Cepstral Pattern Recognition

Feature Extraction

Extraction of MFCCs

Framing and Windowing

Discrete Fourier Transform

Mel Filter Bank

Discrete Cosine Transform

Polynomial Coefficients

Feature Extraction from Discrete Transforms

Discrete Wavelet Transform

Discrete Cosine Transform

Discrete Sine Transform

Feature Matching Using ANNs

Simulation Examples

Image Interpolation as Inverse Problem


Adaptive Least-Squares Image Interpolation

LMMSE Image Interpolation

Maximum Entropy Image Interpolation

Regularized Image Interpolation

Simulation Examples

Interpolation of Infrared Images

Image Registration


Applications of Image Registration

Different Viewpoints (Multi-View Analysis)

Different Times (Multi-Temporal Analysis)

Different Sensors (Multi-Modal Analysis)

Scene-to-Model Registration

Steps of Image Registration

Feature Detection Step

Feature Matching Step

Area-Based Methods

Feature-Based Methods

Transform Model Estimation

Global Mapping Models

Local Mapping Models

Image Resampling and Transformation

Evaluation of Image Registration Accuracy

Image Fusion


Objectives of Image Fusion

Implementation of Image Fusion

Pixel Level Image Fusion

Principal Component Analysis Fusion

Wavelet Fusion

DWT Fusion

DWFT Fusion

Curvelet Fusion

Sub-Band Filtering


Ridgelet Transform

IHS Fusion

High-Pass Filter Fusion

Gram–Schmidt Fusion

Fusion of Satellite Images

Fusion of MR and CT Images

Super-Resolution with a Priori Information


Multiple Observation LR Degradation Model

Wavelet-Based Image Super-Resolution

Simplified Multi-Channel Degradation Model

Multi-Channel Image Restoration

Multi-Channel LMMSE Restoration

Multi-Channel Maximum Entropy Restoration

Multi-Channel Regularized Restoration

Simulation Examples

Blind Super-Resolution Reconstruction of Images


Problem Formulation

Two-Dimensional GCD Algorithm

4 Blind Super-Resolution Reconstruction Approach

Simulation Examples

Appendix A: Discrete B-Splines

Appendix B: Toeplitz-to-Circulant Approximations

Appendix C: Newton’s Method

Appendix D: MATLAB® Codes



About the Authors

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 Processingjournal 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.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Computer Graphics