Department of Computer Science and Engineering

CS474/674 Image Processing and Interpretation (Fall 2021)

  • Meets: MW 1:00 pm - 2:15 pm (WPEB 200)

  • Instructor: Dr. George Bebis

  • TA: Alex Novotny

  • Text: R. Gonzalez and R. Woods Digital Image Processing, 4th edition, Pearson, 2018. Errata

  • Other Texts:


    CS202 and STAT 352 or STAT 461. If you do not meet the prerequisite requirements for this course, you should see me immediately.

    Digital image processing is among the fastest growing computer technologies. This course will provide an introduction to the theory and applications of digital image processing. In particular, this course will introduce students to the fundamental techniques and algorithms used for processing and extracting useful information from digital images.

    Course Outline (tentative)

    Exams and Assignments

    Grading will be based on 6-7 quizzes, two exams, and 4-5 programming assignments. Graduate students will be required to present a paper to the rest of the class.

    Course Policies

    Lecture slides, assignments, and other useful information will be posted on the this web page. Discussion of the of your work is allowed and encouraged. However, each student should do his/her own work. Assignments which are too similar will receive a zero. No late work will be accepted unless there is an extreme emergency. If you are unable to hand in an assignment by the deadline, you must discuss it with me before the deadline. Quizzes and exams will be closed books, closed notes. If you are unable to take a quiz or exam you must inform me in advance. No incomplete grades (INC) will be given in this course and a missed exam may be made up only if it was missed due to an extreme emergency. Regular attendance is highly recommended. If you miss a class, you are responsible for all material covered or assigned in class. You should carefully read the section on Academic Dishonesty found in the UNR Student Handbook. Your continued enrollment in this course implies that you have read it, and that you subscribe to the principles stated therein.

    Useful Information


    Sample Exams


    Programming Assignments

    Presentation Topics (Graduate Students Only)

    Presentation Guidelines

    Department of Computer Science and Engineering, University of Nevada, Ren o, NV 89557
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