Enhancement and restoration of dust images - Alruwaili, Madallah
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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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Produktbeschreibung
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.
Autorenporträt
Madallah Alruwaili received the Ph.D degree in ECE from SIU, USA, in 2015. He is currently an Assistant Professor of Computer Engineering and Networks at Aljouf University, KSA. He is now a vice dean of College of Computer and Information Sciences. His research interests include image processing, image quality analysis, and biomedical imaging.