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==CFA Interpolation== | ==CFA Interpolation== | ||
A color filter array is an array of color filters placed on top of a camera sensor to capture color information which can then be interpolated to produce color information for neighboring pixels. Different cameras can have different patterns for this CFA color sampling. The most common pattern used is the Bayer pattern. | |||
In Camera Forensics, often, the periodicity of the Color Filter Array is exploited to detect possible tampering in images. But, often when given an image, we don’t know the sampling lattice, and also we don’t know how the interpolation was done. We can use the expectation-maximization algorithm to estimate both of these. | |||
== EM algorithm == | == EM algorithm == | ||
Revision as of 05:16, 20 March 2013
Back to Psych 221 Projects 2013
Introduction
Below is another example of a reinotopic map in a different subject.
Figure 2
Once you upload the images, they look like this. Note that you can control many features of the images, like whether to show a thumbnail, and the display resolution.

Motivation
Background
CFA Interpolation
A color filter array is an array of color filters placed on top of a camera sensor to capture color information which can then be interpolated to produce color information for neighboring pixels. Different cameras can have different patterns for this CFA color sampling. The most common pattern used is the Bayer pattern.
In Camera Forensics, often, the periodicity of the Color Filter Array is exploited to detect possible tampering in images. But, often when given an image, we don’t know the sampling lattice, and also we don’t know how the interpolation was done. We can use the expectation-maximization algorithm to estimate both of these.
EM algorithm
Methods
Assumptions
Localization: Clustering
Classification
Results
Localization: Clustering
Some text. Some analysis. Some figures.
Classification
Some text. Some analysis. Some figures.
JPEG Compression
Conclusions
References
References
Software
