Computational Photography
This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images is undertaken over the entire term. The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation.
Affiliate disclosure: course links are affiliate links; an enrolment through one may pay Getting Digital a commission from the provider, at no extra cost to the learner, and it does not influence how courses are described.
What You'll Learn in This Course
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Learning Outcome 1
Offered at Georgia Tech as CS 6475
Learning Outcome 2
Topics include the relationship between pictorial techniques and the human visual system; intrinsic limitations of 2D representations and their possible compensations; and technical issues involving capturing light to form images. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. New forms of cameras and imaging paradigms will be introduced.
Skills You'll Develop
This comprehensive Computational Photography curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Course Requirements & Target Audience
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
Prerequisites & Requirements
What you need before starting this Computational Photography course:
- What is Computational Photography?
- Dual Photography
- Panorama
- Point Processes, Smoothing
- Blending Modes, Convolution and Cross-Correlation
Who This Course Is For
This course is perfect for:
- Learners with foundational knowledge
- Professionals looking to advance their skills
- Those ready to tackle complex concepts
This course might not be suitable if:
- • You're looking for a quick tutorial rather than comprehensive learning
- • You prefer learning without structured curriculum
- • You need highly specialized or niche content
Course Information & Details
Everything you need to know about this online course, from duration to certification
Course Instructor
Blue / De-Blur
Expert instructor with industry experience
Difficulty Level
Intermediate
Some foundational knowledge required
Subject Category
Artificial Intelligence
Course Language
English
All materials in English
Start Your Learning Journey Today
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Course Enrollment
View Current Pricing
Check provider for latest offers
Pricing may vary. Check the course provider for current promotions and exact pricing.
What's Included
- Introduction
- Digital Imaging
- Cameras
- Comp Vision to Comp Photo
- Applications
- Light Field
Affiliate disclosure: course links are affiliate links; an enrolment through one may pay Getting Digital a commission from the provider, at no extra cost to the learner, and it does not influence how courses are described.
- ✓Instant access after enrollment
- ✓Learn at your own pace
- ✓Direct enrollment with Udacity
Where this course fits
Wider context: all fields, the glossary and certification exams.
Last updated 20 August 2025 · Getting Digital