MIT OpenCourseWare

Browse materialsMIT MAS.531 · Fall 2009

Computational Camera and Photography

Art: 1900 Paris Refractor, 1900 · Public domain

Instructor: Prof. Ramesh Raskar
Term: Fall 2009
Level: Graduate
What's inside: 24 videos · 1 lecture note · 1 reading · 55 other files · 5 web pages
Materials open: Videos here · files on MIT OCW

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Source: MIT OpenCourseWare MAS.531 Computational Camera and Photography, Fall 2009, Prof. Ramesh Raskar — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

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Lecture Notes

19 files

4 videos

Assignments

Epsilon Photography-Improving Film-like PhotographyPDF Download

Projects

6 files

1 image

Animation of conceptGIF image Open ↗

Other materials from this course

7 lecture transcripts

2 video transcripts

MIT OpenCourseWare, Prof. Ramesh Raskar, MAS.531 Computational Camera and Photography, Fall 2009.

License: CC BY-NC-SA 4.0 · Edition: Fall 2009 · Open the original course on OCW ↗

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Computational Camera and Photography

Before you start

What's here, and what isn't

Not included here

Materials by section

Lecture Notes

Assignments

Projects

Other materials from this course

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

Lecture 1: Introduction and fast-forward preview of all topics - Part 2

Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 1

Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 2

Lecture 3: Epsilon Photography: Improving Film-like Photography

Lecture 3: Single-shot Multi-domain Camera

Lecture 4: Computational Illumination: dual photography, relighting - Part 1

Lecture 4: Computational Illumination: dual photography, relighting - Part 2

Lecture 5: Lightfields, part 1 - Part 1

Lecture 5: Lightfields, part 1 - Part 2

Lecture 5: Recent research: Retrographic Sensing for the Measurement of Surface Texture and Shape

Lecture 6: Recent research: BiDi Screen

Lecture 6: Lightfields, part 2

Lecture 6: Cameras for human-computer interaction (HCI)

Lecture 8: Project ideas discussion

Lecture 8: Wavelengths and colors

Lecture 8: Survey of Hyperspectral Imaging Techniques

Lecture 9: Computational imaging: a survey of medical and scientific applications

Lecture 9: "Cameras We Cannot Picture": a survey of the computational imaging field

Lecture 11: Coded imaging