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Free MIT Course: Computational Photography

Explore how computation changes image capture, from enhanced photography and light fields to hyperspectral imaging. These MIT lectures connect optical measurements with algorithms for extracting richer visual information.

Video numbers show the position in this classroom. Lecture and recitation numbers retain MIT’s original numbering.

Video 1 of 24 1:24:10

Lecture 1: Introduction and fast-forward preview of all topics - Part 1

Before you start

Suggested preparation: Linear algebra, programming and introductory optics.

About this course

Explore how computation changes image capture, from enhanced photography and light fields to hyperspectral imaging. These MIT lectures connect optical measurements with algorithms for extracting richer visual information.

Topics and lesson examples

  • Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging – Part 1
  • Lecture 4: Computational Illumination: dual photography, relighting – Part 1
  • Lecture 5: Lightfields, part 1 – Part 1
  • Lecture 6: Lightfields, part 2
  • Lecture 5: GelSight Videos: Thermoplastic elastomer (TPE)

Course at a glance

Provider MIT
Platform YouTube · MIT OpenCourseWare
Access Free Video
Level Professional — WikiFree study-level assessment
Language English
Available lessons 24
Video duration 21h 4m · self-paced
Details checked 10 October 2026

Preparation and study approach

Suggested preparation: Linear algebra, programming and introductory optics.

Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.

Using this video classroom

Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.

Free access and course scope

The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.

WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.

Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.

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Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.

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