Digital Image Processing

About this course

The basic concepts and algorithms applied to image processing systems and graphics cards are presented, while providing examples that allow students to become familiar with them, as well as technical computing tools in Matlab and CUDA.

Expected learning outcomes

Students who have successfully completed the course will have a good understanding and knowledge of the main concepts, algorithms, and tools in the field of digital image processing and will have implemented applications in actual systems.

Indicative Syllabus

    • Image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition.

    Teaching / Learning Methodology

    Weekly meetings, project and lecture based

    Recommended Reading

    TBA

    Prerequisites

    Basic knowledge of Computer Programming using C

    Start Date

    2023

    End Date

    2024

    Apply

    2023

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    Local Course Code

    TBA

    Cycle

    TBA

    Year of study

    TBA

    Language

    English

    Study Load

    5ECTS

    Mode of delivery

    TBA

    Instructors

    Dr. Antonios Konstataras

    Course coordinator

    Dr. Antonios Konstataras

    E-mail

    akonstantaras@hmu.gr