ABSTRACT
This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book presents a discussion of polynomial image interpolation. It explores an adaptive polynomial image interpolation and aims to give a neural modeling method for polynomial image interpolation and an explanation of image interpolation as an inverse problem. The book focuses on image interpolation for pattern recognition and image registration methodologies. High-resolution (HR) images are required in most electronic imaging applications. HR images are of great importance in applications such as medical imaging, satellite imaging, military imaging, underwater imaging, remote sensing, and high-definition television. Image interpolation is the process by which a single HR image is obtained from a single low-resolution (LR) image. Image super-resolution is the process by which a single HR image is obtained from multiple degraded LR images. Image registration aims at overlaying the LR degraded images prior to the super-resolution reconstruction process.
