This thesis describes an algorithm for detecting streaks in printed images using adaptive window-based image projections and maximization of mutual information. To this effect, projections are computed across the entire image at different window sizes. The traces collected from the projections are correlated using maximization of mutual information to pinpoint streak locations and widths using a peak detection algorithm. Finally, for a given peak, the window size is changed adaptively to identify and locate the intensity and length of the corresponding streak while maximizing signal to noise ratio. Results on synthetic and real-life images are provided to demonstrate the effectiveness of the proposed technique.
Library of Congress Subject Headings
Image processing; Imaging systems--Image quality; Printing--Data processing; Algorithms
Electrical Engineering (MS)
Department, Program, or Center
Electrical Engineering (KGCOE)
Santos, Hector, "Streak Detection in Mottled and Noisy Images" (2006). Thesis. Rochester Institute of Technology. Accessed from
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