Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Duke University

Embark on a captivating journey into the realm of digital image and video processing with the "Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital" course. Delve into the science behind the creation, manipulation, storage, and utilization of digital images and videos, covering a diverse array of topics.

  • Gain insights into the workings of the human visual system and the engineering, mathematics, and computer science that underpin digital imaging.
  • Explore fundamental algorithms for image adjustment, JPEG and MPEG standards for video encoding and compression, and techniques for image segmentation, noise removal, and filtering.
  • Uncover the application of digital image processing in Hollywood movie special effects, space exploration with the Mars Rover, and medical imaging.
  • Engage with 7 basic modules and 2 bonus modules, each offering independent exploration of specific aspects of image and video processing.
  • Access optional MATLAB exercises to enhance your understanding and practical application of the concepts covered.

This course offers a comprehensive and engaging learning experience, empowering you to unravel the mysteries and intricacies of digital images and videos, from their inception to their varied real-world applications.

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Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
Course Modules

Embark on a comprehensive exploration of digital image and video processing through 7 basic modules and 2 bonus modules. Each module offers independent insights into the diverse facets of image and video manipulation, from the human visual system to medical imaging techniques.

Introduction to image and video processing

MODULE 1 DESCRIPTION: Gain an introduction to the captivating world of image and video processing, delving into the fundamental concepts that form the foundation of this fascinating field. Explore the workings of the human visual system, the engineering behind image formation, and the basic algorithms used for image adjustment.

Image and video compression

MODULE 2 DESCRIPTION: Dive into the intricate realm of image and video compression, unraveling the reasons behind compression, exploring encoding standards such as JPEG and MPEG, and understanding the techniques for compressing and decompressing digital images and videos.

Spatial processing

MODULE 3 DESCRIPTION: Explore spatial processing techniques, including image enhancement, histogram modification, local neighborhood operations, and filtering methods, gaining insights into how these processes contribute to the manipulation and improvement of digital images.

Image restoration

MODULE 4 DESCRIPTION: Uncover the art of image restoration, delving into the identification and estimation of noise, understanding degradation functions, and exploring filtering techniques such as Wiener filtering to restore and enhance digital images.

Image segmentation

MODULE 5 DESCRIPTION: Embark on an exploration of image segmentation, discovering techniques for identifying edges and regions, utilizing segmentation algorithms, and gaining insights into advanced methods such as graph cuts, active contours, and Adobe’s Roto Brush.

Geometric PDEs

MODULE 6 DESCRIPTION: Delve into the world of geometric PDEs in image and video processing, gaining an understanding of planar and surface differential geometry, curve evolution, level sets, anisotropic diffusion, and contrast enhancement via PDEs.

Image and video inpainting

MODULE 7 DESCRIPTION: Explore the art of image and video inpainting, uncovering the techniques and algorithms for filling in missing or damaged areas in images and videos, gaining insights into the utilization of PDEs, calculus of variations, and smart cut and paste methods.

Sparse modeling and compressed sensing

MODULE 8 DESCRIPTION: Gain an understanding of sparse modeling and compressed sensing, exploring the implementation of sparse modeling, dictionary learning, and structured sparsity, along with its application in image processing examples and activity recognition.

Medical imaging

MODULE 9 DESCRIPTION: Embark on a journey into medical imaging, uncovering the application of image processing in HIV analysis, brain imaging, diffusion imaging, and deep brain stimulation, gaining insights into the utilization of digital image processing in the medical field.

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