Image & Video Processing: Mars to Hollywood & Hospital
Explore digital imaging science: From camera basics to Hollywood effects and medical imaging, covering compression, restoration, and segmentation.
Explore digital imaging science: From camera basics to Hollywood effects and medical imaging, covering compression, restoration, and segmentation.
This comprehensive course delves into the science behind digital images and video, covering their creation, manipulation, storage, and applications. Starting with human visual system basics, it progresses through fundamental algorithms for image adjustment, JPEG and MPEG compression standards, and advanced topics like image segmentation and noise removal. The course explores real-world applications, from Hollywood special effects to Mars Rover imaging and medical diagnostics. With a mix of theory and practical examples, it provides a solid foundation in image and video processing techniques, suitable for beginners and those looking to deepen their understanding of this field.
4.7
(1,109 ratings)
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Understand the basics of image formation and human visual perception
Master JPEG and MPEG compression techniques
Apply spatial processing methods for image enhancement
Learn image restoration techniques for noise removal
Understand and implement various image segmentation algorithms
Explore advanced topics like PDEs and sparse modeling in image processing
Skills you'll gain
This course includes:
14 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This course provides a comprehensive introduction to image and video processing, covering a wide range of topics from basic concepts to advanced techniques. Students will learn about image formation, compression methods like JPEG and MPEG, spatial processing techniques, image restoration, segmentation, and inpainting. The course also touches on more advanced topics such as geometric PDEs, sparse modeling, and compressed sensing. Real-world applications are emphasized throughout, including examples from space exploration, Hollywood special effects, and medical imaging. Optional MATLAB exercises are provided for hands-on practice.
Introduction to image and video processing
Module 1 · 2 Hours to complete
Image and video compression
Module 2 · 2 Hours to complete
Spatial processing
Module 3 · 2 Hours to complete
Image restoration
Module 4 · 1 Hours to complete
Image segmentation
Module 5 · 2 Hours to complete
Geometric PDEs
Module 6 · 3 Hours to complete
Image and video inpainting
Module 7 · 1 Hours to complete
Sparse modeling and compressed sensing
Module 8 · 2 Hours to complete
Medical imaging
Module 9 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Professor
Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology. Following post-doctoral research at MIT, he joined HP Labs in Palo Alto, where he co-developed the image compression techniques used in the original Mars Rovers expedition. He later served at the University of Minnesota as Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently, he is a faculty member at Duke University. Sapiro has received numerous prestigious awards, including the Office of Naval Research Young Investigator Award (1998), the Presidential Early Career Award for Scientists and Engineers (1998, presented by President Clinton at the White House), the National Science Foundation Career Award (1999), the National Security Science and Engineering Faculty Fellowship (2010), and the Test of Time Award (2011) for his contributions to image segmentation. His algorithms are integrated into Adobe products, widely used medical imaging software like ITK, and are operational on Mars. A seasoned educator with over 15 years of experience teaching image processing, Sapiro has delivered plenary talks and short courses at leading imaging and applied mathematics conferences. He is also the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences, one of the highest-impact journals in applied mathematics.
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4.7 course rating
1,109 ratings
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