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Camera and Imaging

Master digital imaging principles, camera operations, and processing techniques to capture and enhance high-quality images with professional-level results.

Master digital imaging principles, camera operations, and processing techniques to capture and enhance high-quality images with professional-level results.

This comprehensive course explores the fundamental principles of imaging and camera systems. Students learn how cameras work, including lens systems, image sensors, and color sensing. The course covers advanced topics like HDR imaging, binary image processing, and Fourier transforms. Through detailed study of image formation, sensing, and processing, students gain both theoretical knowledge and practical skills in digital imaging technology.

4.7

(130 ratings)

13,876 already enrolled

Instructors:

English

Tiếng Việt

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Camera and Imaging

This course includes

20 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand camera optics and image formation

  • Master image sensor characteristics

  • Implement HDR imaging techniques

  • Process binary images effectively

  • Apply image filtering methods

  • Analyze images using Fourier transforms

Skills you'll gain

Digital Imaging
Camera Systems
Image Processing
HDR Imaging
Fourier Transform
Binary Images
Lens Optics
Image Sensors
Color Sensing
Convolution

This course includes:

6.5 Hours PreRecorded video

30 assignments

Access on Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

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There are 6 modules in this course

This comprehensive course covers the fundamentals of imaging technology and camera systems. The curriculum progresses from basic principles of image formation and lens systems to advanced topics in image processing. Students learn about sensor technologies, color imaging, HDR techniques, and various image processing methods including convolution and Fourier transforms.

Getting Started: Camera and Imaging

Module 1 · 2 Hours to complete

Image Formation

Module 2 · 3 Hours to complete

Image Sensing

Module 3 · 4 Hours to complete

Binary Images

Module 4 · 2 Hours to complete

Image Processing I

Module 5 · 3 Hours to complete

Image Processing II

Module 6 · 3 Hours to complete

Fee Structure

Instructor

Shree Nayar
Shree Nayar

4.8 rating

44 Reviews

18,258 Students

5 Courses

T. C. Chang Professor of Computer Science

Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University, where he leads the Columbia Vision Laboratory (CAVE). His laboratory specializes in developing cutting-edge computational imaging and computer vision systems. Nayar’s research focuses on three primary areas: the creation of innovative cameras that offer new types of visual information, the design of physics-based models for vision and graphics, and the development of algorithms aimed at understanding and interpreting scenes from images.Professor Nayar’s work is highly interdisciplinary, bridging the domains of imaging, computer vision, robotics, virtual and augmented reality, visual communication, computer graphics, and human-computer interaction. His pioneering research has significant real-world applications in these fields, advancing both the technology and our understanding of visual systems.In addition to his research, Nayar is an educator, teaching several advanced courses at Columbia University, including 3D Reconstruction - Multiple Viewpoints, 3D Reconstruction - Single Viewpoint, Camera and Imaging, Features and Boundaries, and Visual Perception. These courses reflect his expertise in computer vision and imaging technologies and contribute to shaping the next generation of researchers and engineers in these fields.

Camera and Imaging

This course includes

20 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.7 course rating

130 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.