Bøger af Fathi E. Abd El-Samie

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 recognitionAnalyzes image interpolation as an inverse problemPresents image registration methodologies Considers image fusion and its application in image super resolutionIncludes simulation experiments along with the required MATLAB® codeSupplying 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.

This book covers four branches of biometrics: speaker identification, fingerprint recognition, face recognition, and iris recognition. It includes several experiments and Matlab (R) code for all experiments to meet the needs of new students and researchers in these areas.

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.

The author covers the fundamentals of both information and communication security including current developments in some of the most critical areas of automatic speech recognition.