Enhancement and restoration of dust images

This book focuses on the modeling of dust noise on ordinary images and formulating enhancement and restoration strategies to improve the quality of dusty images using a sequence of image processing steps. Analyses of images acquired in dusty environments show that the images tend to have noise, blur, a small dynamic range, low contrast, diminished blue components, and high red components. This book proposes a dust noise model on ordinary images, an automatic color correction algorithm, and a statistical adaptive algorithms.