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^(R) 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.