| Description: |
This ImageJ plugin calculates the 3D-noise from a sequence
of images. 3D noise is a technique for describing the noise in
a video that tries to break down the analysis into various
components which helps to determine where the noise comes
from. For example, flicker noise (the t-component) is when
the average brightness of the image jumps around. Or rain
noise (the th-component) is like what was used in the Matrix
movies. Various ratios (say, vh/tvh) are general indicators
of the niceness of a video system.
The 3D-noise algorithm follows that developed by
the Night Vision Lab (or Night Vision Electronic
Sensor Directorate) at Fort Belvoir, VA.
See: "Infrared Focal Plane Noise Parameter Definitions"
by J. G. Zeibel & R.T. Littleton at NVESD, October 2003
Usage:
1) Open an image sequence or video file and selects an ROI.
2) Run this plug-in
3) Verify the ROI.
4) Input a Signal Transfer function (SiTF).
This plugin was developed to analyze the 3D-noise
of infrared images. Thus, the SiTF has units to
convert image signal to degrees-Centigrade.
Output in Results window includes:
a) Eight 3D-noise components and the temporal noise.
If an SiTF is entered, the units are milli-Kelvin.
b) The SiTF (if used)
c) The mean image signal within the ROI
d) Size of the "Data Cube": height, width, # frames
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