Hector Santos

Abstract

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

Publication Date

2006

Document Type

Thesis

Student Type

Graduate

Degree Name

Electrical Engineering (MS)

Department, Program, or Center

Electrical Engineering (KGCOE)

Advisor

Eli Saber

Advisor/Committee Member

Sohail Dianat

Advisor/Committee Member

Wencheng Wu

Comments

Physical copy available from RIT's Wallace Library at TA1637 .S368 2006

Campus

RIT – Main Campus

Download

Share

COinS