Image Super-Resolution and Applications

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.