This course is part of the First Principles of Computer Vision Specialization

4.7
stars
80 ratings

Shree Nayar

7,325 already enrolled

Offered By

First Principles of Computer Vision SpecializationColumbia University

About this Course

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This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or processing by a human or a machine. Imaging has a long history, spanning several centuries. But the advances made in the last three decades have revolutionized the camera and dramatically improved the robustness and accuracy of computer vision systems. We describe the fundamentals of imaging, as well as recent innovations in imaging that have had a profound impact on computer vision.
This course starts with examining how an image is formed using a lens camera. We explore the optical characteristics of a camera such as its magnification, F-number, depth of field and field of view. Next, we describe how solid-state image sensors (CCD and CMOS) record images, and the key properties of an image sensor such as its resolution, noise characteristics and dynamic range. We describe how image sensors can be used to sense color as well as capture images with high dynamic range. In certain structured environments, an image can be thresholded to produce a binary image from which various geometric properties of objects can be computed and used for recognizing and locating objects. Finally, we present the fundamentals of image processing – the development of computational tools to process a captured image to make it cleaner (denoising, deblurring, etc.) and easier for computer vision systems to analyze (linear and non-linear image filtering methods).

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Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 1 of 5 in the

First Principles of Computer Vision Specialization

Beginner Level

Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.

Approx. 17 hours to complete

English

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What you will learn

Learn how a camera works and how an image is formed using a lens
Understand how an image sensor works and its key characteristics
Design cameras that capture high dynamic range and wide angle images
Learn to create binary images and use them to build a simple object recognition system

Skills you will gain

Fourier Transform
High-Dynamic-Range (HDR) Imaging
Image Formation
Convolution and Deconvolution
Working Principles of a Camera

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 5 in the

First Principles of Computer Vision Specialization

Beginner Level

Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.

Approx. 17 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.79/5 (25 Ratings)

Shree Nayar

T. C. Chang Professor

Computer Science

9,225 Learners

5 Courses

Offered by

Columbia University

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Getting Started: Camera and Imaging

2 hours to complete

8 readings

Week2

Week 2

3 hours to complete

Image Formation

3 hours to complete

1 reading

Week3

Week 3

3 hours to complete

Image Sensing

3 hours to complete

2 readings

Week4

Week 4

2 hours to complete

Binary Images

2 hours to complete

1 reading

Reviews

4.7

23 reviews

5 stars
78.75%
4 stars
15%
3 stars
2.50%
1 star
3.75%

TOP REVIEWS FROM CAMERA AND IMAGING

by WWFeb 11, 2023

The best course on Coursera in terms of clarity, pace, quality of materials.

Thank you!

by HSMay 27, 2022

This was a great introduction to image processing. I learned a lot that's applicable to my current job. I expect the follow on courses to improve that learning!

by SWJan 1, 2023

An awesome course that covers all the important image and processing fundamentals.

by TFDec 9, 2022

Excellent teaching. Concise and clear. Highly recommended.

View all reviews

About the First Principles of Computer Vision Specialization

This specialization presents the first comprehensive treatment of the foundations of computer vision. It focuses on the mathematical and physical underpinnings of vision and has been designed for learners, practitioners and researchers who have little or no knowledge of computer vision. The program includes a series of 5 courses. Any learner who completes this specialization has the potential to build a successful career in computer vision, a thriving field that is expected to increase in importance in the coming decades.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Camera and Imaging

About this Course

What you will learn

Skills you will gain