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.
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