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amplifier implemented in each column or by a signal output
from imaging devices. This type of CMOS sensor has one
advantage, and that is random access to the individual pixels.
Big amount of noise and poor sensitivity are main reasons why
this type of CMOS sensor is not competitive with state-of-the-
art CCD sensors.
2.2.2 Active Pixel Sensors. Active Pixel Sensors, APS, which
was successfully implemented in last decade of last century in
NASA's Jet Propulsions Laboratory brought new dimension to
the CMOS sensors. In this type of CMOS sensor amplifier is
added to each pixel allowing the conversion of charge to voltage
to happen at the pixel (Figure 2).
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Figure 2. Architecture of Active Pixel Sensor (Vietze, 1997)
This allows the signal from single pixel or columns of pixel to
be directly addressed giving to CMOS one big advantage
against CCD; intelligently choosing group of pixel charges that
will be readout. This operation is called window-of-interest.
Noise, which is characteristics of passive pixel sensors in this
type of CMOS sensors is reduced.
Active pixel sensors made CMOS technology competitive with
three-decade domination of CCD sensor in field of spatial
resolution, dynamic rage and sensitivity. No problems with
blooming, low power consumption and system cost made
CMOS very interesting like technology in digital imaging
products. Fully integrated CMOS is potentially 5 times lower in
cost than CCD based image device (Blanc, 2000)
Integration of functions for timing, exposure control and some
other functions on one single piece of silicon enables production
of a "camera on he chip" which was impossible with CCD.
Figure 3. Standard Bayer mosaic used in most CCD and
CMOS sensors for colure reproduction
75
2.2.3 X3. Foveon X3 is name for new technology based on
CMOS sensor produced in 0.18-micron CMOS production line.
Main difference between this and any other CCD or CMOS
sensor is fact that this sensor reproduce colour in different way
from others. Most common way is reproduction of colour using
Bayer filter (Ramanth, 2000) using filters for primary, red,
green and blue colours. (Figure 3.) After collecting information
about colour, demosaicking is needed to reproducing colour for
every pixel using different ways of interpolations algorithms
(Bilinear Interpolation, Constant hue-based Interpolation,
median-based Interpolation, ...) (Ramanath et. al. 2001)
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Figure 4. Mosaic pattern for collecting information about
colure (Foveon, 2001)
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Figure 5. X3 way of collecting data about colure using three
layers, for every colure each. (Foveon, 2001)
In practice this means that if number of horizontally recorded
pixels is 768, 384 of them are green, 192 red and 192 blue
(Holst. 1996).
With X3 sensor colourer information for every pixel is recorded
in three separated layers, which means that resolution of sensor
is multiplied by 3. In this case we would have 768 pixels in
green, 768 in red and 768 pixels in blue colourer.
3. COMPARASION OF CCD vs. CMOS
Comparison in some basic characteristics is made for CCD and
CMOS sensors.
3.1 Dark current
Dark current arises from thermal energy within the silicon
lattice comprising the CCD. Electrons are created over time that
are independent of the light falling on the detector. These
electrons are captured by the CCD's potential wells and counted
as signal (Roper Scientific). Dark current like one of noises
produced by sensor itself is quite significant sign of sensor
quality. It limits use of sensor to shorter exposure times and not
too high temperatures. In best CCD sensors dark current is
about 2-10 pA/cm? and in optimised CMOS sensors is from 50
to 200 pA/em* Standard CMOS has dark current about 1000
pA/cm?
3.2 Sensitivity
The basic quality criterion for pixel sensitivity is the product of
its Fill Factor and Quantum Efficiency. The Fill Factor is
defined as the ratio of light-sensitive area to total pixel size and
directly influences the maximum sensitivity that can be
achieved with a sensor. (Blanc, 2000). In full frame CCD