Image Processing Reference
In-Depth Information
10.7.6 S
UMMARY
The virtual printer model parameters can be further matched to a real printer using
the above techniques if the process parameters (e.g., process voltages, TC, tribo, etc.)
in the steps before the color model (like development station and transfer station) are
updated with more realistic values of a nominal state of the real printer. There is also
a need for improving the structure of the model to capture the physical process in the
darker part of the gamut. However, these partially tuned models based on numerous
process parameters accurately predict the general behavior of the printer and are,
therefore, considered adequate for developing advanced feedback systems and
evaluating their effects regarding quality. Various process control architectures,
calibration approaches (1-D, 2-D, etc.), multidimensional pro
ling, and image-pro-
cessing techniques can be matured with these models prior to print testing.
PROBLEMS
10.1
Let the parameters of a charging system be
A
V-m
C
V-m
254
m
s
10
6
10
7
S
¼
0
:
9
,
C
¼
9
:
486
2
,
and
v
¼
0
:
(a) Plot V
P
(L) as a function of grid voltage V
g
. Assume V
P
(0)
0.
(b) Find sensitivity of the photoconductor surface voltage with respect to the
grid voltage V
g
.
(c) Repeat part b if v is decreased by 10%. Assume all the other parameters
remain the same.
¼
10.2
Consider a charging system given by differential equation
C
d
V
p
d
t
¼
S
(
V
g
V
p
)
10
6
A
V
-
m
where
the
grid
voltage
V
g
¼
800 V,
S
¼
0
:
9
,
and
10
7
C
C
¼
V
-
m
2
.
(a) Find photoconductor surface voltage V
p
(t)ifV
p
(0)
9
:
486
¼
0.
(b) Plot V
p
(t) as a function of time.
10.3
Consider the Springett
-
Melnyk exposure model given by
V
(
X
)
V
r
V
i
V
r
e
h
0
C
X
¼
V
(
X
)
V
i
þ
V
c
ln
þ
0
(a) Solve the above equation numerically and plot V(X) as a function of
e
h
C
X.
Assume the following parameters for the model: V
i
¼
500 V, V
c
¼
4 V, and
20 V.
(b) Solve the Springett
V
r
¼
-
Melnyk exposure model for p
¼
3.
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