Key Information
About the content
In this course you will learn about the basics of how computation has impacted the entire workflow of photography (i.e., from how images are captured, manipulated and collaborated on, and shared).
Syllabus
Week 0 (Module 0): Introductions with an overview of the course structure and content. Topics covered in this module include a description of what is Computational Photography (i.e., whereby examples of dual photography and panoramas are described) and reasons for studying this emerging interdisciplinary field .
Week 1 (Module 1): Overview of what is a digital image. Topics covered in this module are image processing and filtering, with emphases placed upon point processes, smoothing, convolution, cross-correlation, gradients and edges.
Week 2 (Module 2): Overview of cameras with emphases placed upon the pinhole camera and optics (e. g., lenses, focal length), exposure time and sensors.
Week 3 (Module 3): Feature detection, matching and correspondence. The panorama pipeline and some examples. HDR and tone mapping.
Week 4 (Module 4): Overview of light fields, texture synthesis, image retargeting, video, advanced topics.
Instructors
- Irfan Essa - School of Interactive Computing
- - Georgia Tech Professional Education
Content Designer
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
