A Theory of Plenoptic Multiplexing
Multiplexing is a common technique for encoding highdimensional image data into a single, two-dimensional image. Examples of spatial multiplexing include Bayer patterns to capture color channels, and integral images to encode light ﬁelds. In the Fourier domain, optical heterodyning has been used to acquire light ﬁelds. In this paper, we develop a general theory of multiplexing the dimensions of the plenoptic function onto an image sensor. Our theory enables a principled comparison of plenoptic multiplexing schemes, including noise analysis, as well as the development of a generic reconstruction algorithm. The framework also aides in the identiﬁcation and optimization of novel multiplexed imaging applications.
MATLAB Color Calibration ToolboxThe toolbox can be used to compute color compensation matrices from images of a color checker (Gretag-Macbeth 24 patches, Colorchecker DC 240 patches, or ColorcheckerSG 140 patches). Since version 2.0 the software can also estimate radiometric camera response curves from an exposure stack of a color checker.
Author: Ivo Ihrke
PFS CalibrationIvo Ihrke is currently the maintainer of the PFS calibration package.
Demo and Datasets for "Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images"
Code and Datasets for "A Theory of Plenoptic Multiplexing"
Implementation for "Eikonal Rendering"
Multi-View Data SetsA multi-view data set of fire from our SCA 2004 paper and a synthetic multi-view data set (kungfu-girl)
Focal Stack PhotographyFocal Stack Photography has been a project of the lecture "Computational Photography 2010".
There are some data sets available on the project page containing up to 500 shots.
Some of the data sets are also available in 20 mega pixel resolution and raw format.
Feel free to ask for it.