Material Detail

Codes for Sampling Images over Time and Space

This video was recorded at NIPS Workshops, Whistler 2010. The human visual system, and almost every digital camera, achieves trichromacy by using sensors of different spectral sensitivity arranged in some spatial pattern. What pattern of spatial sampling is best? I'll describe work on learning an optimal (ok, locally optimal) color filter array. This learned sampling pattern leads to better reconstructions of color images than the Bayer pattern and many others. If there is time, I'll talk about some issues in sampling over time, and show simulation results for a camera that can both add and subtract from a pixel intensity counter.

Keywords:: videolectures, ocwc, oec

Disciplines:

Science and Technology / Computer Science / Programming & Programming Languages

Go to Material

Bookmark / Add to Course ePortfolio

Create a Learning Exercise

Add Accessibility Information

Rate

Add a Comment

Quality

User Rating
Comments
Learning Exercises
Bookmark Collections
Course ePortfolios
Accessibility Info

Report Broken Link
Report as Inappropriate

More about this material

Material Type:: Presentation
Date Added to MERLOT:: February 10, 2015
Date Modified in MERLOT:: February 10, 2015
Author:: William T. Freeman, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, MIT
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States