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Updated in [March 01st, 2023]

This course, Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital, provides an overview of the science behind digital images and video. Students will learn about the engineering, mathematics, and computer science that make digital images work, as well as the algorithms used for adjusting images. Additionally, students will explore JPEG and MPEG standards for encoding and compressing video images, and learn about image segmentation, noise removal and filtering. Finally, the course will cover image processing techniques used in medicine. By the end of the course, students will have a comprehensive understanding of the digital imaging world.

[Applications]
Upon completion of this course, students will have a better understanding of the science behind digital images and video, and will be able to apply this knowledge to a variety of applications. Students will be able to use the algorithms and techniques learned in the course to adjust, compress, and segment digital images and video. They will also be able to apply the knowledge gained to medical imaging, digital special effects, and space exploration.

[Career Paths]
1. Image Processing Engineer: Image processing engineers are responsible for developing and implementing algorithms and software for processing digital images. They work with a variety of technologies, including computer vision, machine learning, and artificial intelligence, to create systems that can analyze and interpret images. They also develop algorithms for image compression, image segmentation, and noise removal. As the demand for image processing increases, the need for image processing engineers is expected to grow.

2. Video Processing Engineer: Video processing engineers are responsible for developing and implementing algorithms and software for processing digital video. They work with a variety of technologies, including computer vision, machine learning, and artificial intelligence, to create systems that can analyze and interpret video. They also develop algorithms for video compression, video segmentation, and noise removal. As the demand for video processing increases, the need for video processing engineers is expected to grow.

3. Computer Vision Scientist: Computer vision scientists are responsible for developing and implementing algorithms and software for analyzing and interpreting digital images and video. They work with a variety of technologies, including machine learning, artificial intelligence, and computer vision, to create systems that can recognize objects, detect patterns, and interpret images. As the demand for computer vision increases, the need for computer vision scientists is expected to grow.

4. Medical Image Processing Engineer: Medical image processing engineers are responsible for developing and implementing algorithms and software for processing medical images. They work with a variety of technologies, including computer vision, machine learning, and artificial intelligence, to create systems that can analyze and interpret medical images. They also develop algorithms for image compression, image segmentation, and noise removal. As the demand for medical image processing increases, the need for medical image processing engineers is expected to grow.

[Education Paths]
Recommended Degree Paths:

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