Camera and Imaging

Columbia University via Coursera

Coursera

14 Courses


Columbia University is an Ivy League institution situated in NYC, delivering a top-tier education within a diverse and energetic learning environment.

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Overview

Delve into the captivating world of imaging with our comprehensive course, now available through Columbia University on Coursera. Uncover the essence of creating images ready for human or machine interpretation, a practice with centuries of history yet revolutionized in the past thirty years. This course offers profound insights into the impact of recent imaging innovations on computer vision.

Starting with the basics, learners will explore how an image is formed via lens cameras, understanding the optical characteristics such as magnification, F-number, depth of field, and field of view. The journey continues with an in-depth look at how solid-state image sensors, including CCD and CMOS, capture images, highlighting their resolution, noise characteristics, and dynamic range. Discover the art of color sensing and high dynamic range image capturing.

In structured environments, the process of thresholding to create binary images reveals geometric properties vital for object recognition and location. The course culminates with essential image processing techniques, developing computational tools for denoising, deblurring, and enhancing images for easier analysis by computer vision systems. Join us for this enlightening journey into the fundamentals of imaging and unlock the potential of computer vision. Ideal for those intrigued by Computer Vision Courses.

Syllabus


Taught by

Shree Nayar


Tags

united states

provider Coursera

Coursera

1275 Courses


Coursera

pricing Free Online Course (Audit)
language English
duration 17 hours
sessions On-Demand
level Beginner