Chapter 3
Camera Functions
page 27
only has a quarter of the real resolution of the image sen-
sor.
p00
green
p11
green
p01
red
p10
blue
p02
green
p13
green
p03
red
p12
blue
p20
green
p31
green
p21
red
p30
blue
p22
green
p33
green
p23
red
p32
blue
G
00
R
00
B
00
G
01
R
01
B
01
G
10
R
10
B
10
Figure 3.21:
Section illustration of a CCD image sensor covered with color
filters where the RGB pixel values should be evaluated.
Another method is to treat the same color pixels as a sin-
gle image array and shift the color arrays onto one other.
For example, red, blue and green pixels are adjusted to
form one image (the green pixels are averaged to adjust
their number to the others). Then the image is magnified
by a factor of two using bilinear interpolation. This method
achieves better visual results than the first method dis-
cussed above and is just as fast.
The
camware
application software uses two improved al-
gorithms to transform pixel values into the RGB color
space. Algorithm 1 is optimized for color response, while
algorithm 2 is optimized for greater resolution.
Algorithm 1
This algorithm is optimized for color response. As a result,
its resolution has been slightly compromised.
The resulting pixels may be thought of as virtual pixels,
because they lie between four real pixels (see Figure
3.22).
As an example, in the following section the RGB- value of
the pixel p
RGB
(1, 1) is calculated:
(
)
Re d
9 p21 3 p01 3 p23 p03
p
(1, 1)
16
⋅
+
⋅
+
⋅
+
=
(
)
Green
p11 p22
p
(1, 1)
2
+
=
(
)
Blue
9 p12 3 p10 3 p32 p30
p
(1, 1)
16
⋅
+
⋅
+
⋅
+
=
User Manual pco.camera status 12/2004
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