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Fundamentals of Digital Image and Video Processing

Course Summary

In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests.

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    Course Syllabus

    • Introduction, Image and Video Processing vs Image and Video Analysis vs Computer Vision, the electromagnetic spectrum, applications of image and video processing
    • 2D and 3D signals and systems, linear and shift invariant systems (convolution)
    • 2D and 3D Fourier transform, 2D and 3D discrete-Fourier transform, uniform sampling
    • Motion estimation and its applications
    • Image and video enhancement (e.g., edge detection, noise filtering, histogram equalization, inpainting)
    • Image recovery (restoration, super-resolution)
    • Video recovery (restoration, super-resolution)
    • Lossless compression
    • Image compression techniques and standards
    • Video compression techniques and standards
    • Image and video analysis (e.g., 2D and 3D segmentation, clustering)
    • Sparsity-based advances in image and video processing

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    Recommended Background

    The course includes programming assignments and some programming background will be helpful.

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    Course Format

    The class will consist of video lectures broken into shorter (up to 30 minutes long) chunks. Some of these may contain integrated quiz questions. There will also be standalone quizzes that are not part of video lectures, as well as programming assignments.

Course Fee:

Course Type:


Course Status:



1 - 4 hours / week

This course is listed under Development & Implementations Community

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