Image Processing Reference
In-Depth Information
numerical differentiation and trilinear
interpolation. The Jacobian is
de
ned by
2
4
3
5
q
L
*
(
k
)
q
R
(
k
)
q
L
*
(
k
)
q
G
(
k
)
q
L
*
(
k
)
q
B
(
k
)
J
k
¼
q
L*a*b*
(
k
)
q
RGB
(
k
)
q
a
*
(
k
)
q
R
(
k
)
q
a
*
(
k
)
q
G
(
k
)
q
a
*
(
k
)
q
B
(
k
)
¼
q
b
*
(
k
)
q
R
(
k
)
q
b
*
(
k
)
q
G
(
k
)
q
b
*
(
k
)
q
B
(
k
)
(b) Find the range of parameter
m
that guarantees convergence of the ICI
algorithm that can be used to
find the inverse LUT.
REFERENCES
1. H.R. Kang, Color Technology for Electronic Imaging Devices, SPIE Press, Bellingham,
WA, 1996.
2. G. Sharma, Digital Color Imaging Handbook, CRC Press, Boca Raton, FL, 2003.
3. J.Z. Chang, Sequential linear interpolation of multidimensional functions, IEEE Trans-
actions on Image Processing, 6, 1231
1245, Sept. 1997.
4. D. Shepard, A two-dimensional interpolation function for irregularly-spaced data, Pro-
ceedings of the ACM National Conference, pp. 517
-
524, New York, 1968.
5. R. Balasubramanian and M.S. Maltz, Refinement of printer
-
transformation using
weighted regression, Proceedings of SPIE, 2658, 334
-
340, 1996.
6. M. Xia, E. Saber, G. Sharma, and M. Tekalp, End-to-end color printer calibration by total
least squares regression, IEEE Transactions on Image Processing, 5, 700
-
716, 1999.
7. R. Balasubramanian, The use of spectral regression in modeling halftone color printers,
IST
=
OSA Annual Conference, Optic
=
Imaging in the Information Age, pp. 372
-
375,
Rochester, Oct. 1996.
8. D. Viassolo and L.K. Mestha, A practical algorithm for the inversion of an experimental
input-output color map for color correction, Journal of Optical Engineering, 42(3), 625,
March 2003.
9. E.K. Chong and S.H. Zak, An Introduction to Optimization, John Wiley & Sons Inc.,
New York, 1996.
10. R.E. Groff, D.E. Koditschek, and P.P. Khargonekar, Piecewise linear homeomorphisms:
The scalar case, IEEE International Conference on Neural Networks,3,259
-
264, Jul. 2000.
11. S.A. Dianat, L.K. Mestha, and A. Matthew, Dynamic optimization algorithm for gener-
ating inverse printer map with reduced measurements, 2006 IEEE International Confer-
ence on Acoustics, Speech and Signal Processing, Toulouse, France, May 14
-
19, 2006.
12. Kelvin E.S., Geoffrey J.W., and Edward J.G., Reference input
=
output medium metric
RGB color encodings (RIM
=
ROMM RGB), PICS 2000 Conference, Portland, OR,
March 26
-
29, 2000.
13. L.K. Mestha and S. Dianat, TRC smoothing algorithm to improve image contours in 1-D
color controls, US Patent 7,397,581, Jul. 8, 2008.
14. L.K. Mestha, R.E. Viturro, Y.R. Wang, and S.A. Dianat, Gray balance control loop for
digital color printing systems, NIP21: Proceedings of the IS&T
'
s International Confer-
ence on Digital Printing Technology, pp. 499
-
504, Baltimore, MD, Sept. 18
-
23, 2005.
15. P.K. Gurram, S.A. Dianat, L.K. Mestha, and R. Bala, Comparison of 1-D, 2-D and 3-D
printer calibration algorithms with printer drift, NIP21: Proceedings of the IS&T
'
s
International Conference on Digital Printing Technology, pp. 505
-
510, Baltimore,
MD, Sept. 18
-
23, 2005.
16. G. Sharma, R. Bala, J.R.N. Van de Capelle, M. Malz, and L.K. Mestha, Two-dimensional
calibration architectures for color devices, US Patent 7,355,752, Apr. 8, 2008.
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