The signal transfer function (SiTF) is a measure of the
signal output versus the
signal input of a system such as an
infrared
Infrared (IR), sometimes called infrared light, is electromagnetic radiation (EMR) with wavelengths longer than those of visible light. It is therefore invisible to the human eye. IR is generally understood to encompass wavelengths from around ...
system or
sensor. There are many general applications of the SiTF. Specifically, in the field of image analysis, it gives a measure of the
noise
Noise is unwanted sound considered unpleasant, loud or disruptive to hearing. From a physics standpoint, there is no distinction between noise and desired sound, as both are vibrations through a medium, such as air or water. The difference aris ...
of an imaging system, and thus yields one assessment of its performance.
SiTF evaluation
In evaluating the SiTF curve, the signal input and signal output are measured
differentially; meaning, the differential of the input signal and differential of the output signal are calculated and plotted against each other. An operator, using computer software, defines an arbitrary area, with a given set of data points, within the signal and
background
Background may refer to:
Performing arts and stagecraft
* Background actor
* Background artist
* Background light
* Background music
* Background story
* Background vocals
* ''Background'' (play), a 1950 play by Warren Chetham-Strode
Record ...
regions of the output image of the infrared sensor, i.e. of the unit under test (UUT), (see "Half Moon" image below). The average signal and background are calculated by averaging the data of each arbitrarily defined region. A
second order polynomial curve is
fitted to the data of each
line. Then, the polynomial is subtracted from the average signal and background data to yield the new signal and background. The difference of the new signal and background data is taken to yield the net signal. Finally, the net signal is plotted versus the signal input. The signal input of the UUT is within its own spectral response. (e.g.
color-correlated temperature,
pixel
In digital imaging, a pixel (abbreviated px), pel, or picture element is the smallest addressable element in a raster image, or the smallest point in an all points addressable display device.
In most digital display devices, pixels are the ...
intensity, etc.). The slope of the linear portion of this curve is then found using
the method of least squares.
SiTF curve
The net signal is calculated from the average signal and background, as in
signal to noise ratio (imaging)#Calculations.
The SiTF curve is then given by the signal output data, (net signal data), plotted against the signal input data (see graph of SiTF to the right). All the data points in the linear region of the SiTF curve can be used in the method of
least squares to find a linear approximation. Given
data points
a best fit line parameterized as
is given by:
[ Aboufadel, E. F., Goldberg, J. L., Potter, M. C. (2005).''Advanced Engineering Mathematics (3rd ed.).''New York, New York: Oxford University Press]
:
See also
*
Optical transfer function
The optical transfer function (OTF) of an optical system such as a camera, microscope, human eye, or projector specifies how different spatial frequencies are captured or transmitted. It is used by optical engineers to describe how the optics pro ...
*
Distortion
In signal processing, distortion is the alteration of the original shape (or other characteristic) of a signal. In communications and electronics it means the alteration of the waveform of an information-bearing signal, such as an audio signa ...
*
Minimum resolvable temperature difference
Minimum resolvable temperature difference (MRTD) is a measure for assessing the performance of infrared cameras, and is inversely proportional to the modulation transfer function.
Typically, an operator is asked to assess the minimum temperature ...
*
Noise equivalent temperature difference
*
Power spectral density
The power spectrum S_(f) of a time series x(t) describes the distribution of power into frequency components composing that signal. According to Fourier analysis, any physical signal can be decomposed into a number of discrete frequencies, ...
*
Minimum resolvable contrast Minimum resolvable contrast (MRC) is a subjective measure of a visible spectrum sensor’s or camera's sensitivity and ability to resolve data. A snapshot image of a series of three bar targets of selected spatial frequencies and various contrast c ...
*
Signal to noise ratio (imaging)
References
External links
* http://www.electro-optical.com
Signal processing
Image processing
Infrared imaging