Image Processing Reference
In-Depth Information
In recapitulation, this topic includes a collection of theoretical techniques,
algorithms, and methods required for developing and optimizing a digital printing
system and producing state-of-the-art color quality. In addition to the fundamental
knowledge in image processing and image transforms, mathematical tools for the
analysis and design of open- and closed-loop control systems are required to optimize
an internal press control system. Therefore, Chapters 3 through 5 provide a strong
mathematical foundation to design modern multivariable discrete control systems,
which are required for improving the press stability using process actuators. Chapter
6 describes the multidimensional interpolation and smoothing
ltering techniques
useful for generating inverse maps. Chapters 7 and 8 describe the use of image
actuators (e.g.,
=
separations), largely in the DFEs and to some extent in the
prepress, to provide an accurate system inverse. These two chapters also contain
necessary information for characterizing printers, mapping out-of-gamut colors to
the surface, ef
CMYK
cient use of multidimensional interpolation algorithms, and methods
to generate good color transformations. Chapter 10 presents actual physical models
of the EP process with access to principal image, process, and marking subsystem
parameters that simulate the development of fused prints. Color gamuts for different
settings of printer parameters can be generated using these physical models. In
addition to the opportunities provided by these models to create robust control
and imaging system, they can be extended to control the color by rendering
spatially color corrected pixels. Spatial color correction is required in EP printing
process [24] due to the streaks and bands that are inherent to the print process.
A dynamic 1-, 2-, or 3-D spatial model structure for the development of
component primaries and then to mixed colors on the paper are some of the new
developments that can enable spatial image quality compensation [25]. They are
brie
y mentioned in this topic.
REFERENCES
1. US Department of Labor, Bureau of Labor Statistics, Career Guide to Industries:
Printing, Publishing, Mar. 2006, www.bls.gov
2. BF Kuvin, Modular press control, Metalforming, pp. 37 - 39, Nov 2002.
3. E Saber, S Dianat, LK Mestha, and PY Li, DSP utilization in digital color printing, IEEE
Signal Processing Magazine, Jul. 2005.
4. DA Hays and KR Ossman, Electrophotographic copying and printing (xerography), in
The Optics Encyclopedia, Wiley-VCH, Berlin, 2003.
5. R Lux and H-J Yuh, Is image-on-image color printing a privileged printing architecture
for production digital printing applications? NIP20: Proceedings of the IS&T ' s Inter-
national Conference on Digital Printing Technologies, Salt Lake City, UT, pp. 323 - 327,
Oct. 31 - Nov. 5, 2004.
6. JJ Folkins, Five cycle image on image printing architecture, US Patent 5,576,824,
Nov. 19, 1996.
7. JJ Folkins, Transfer, cleaning and imaging stations spaced within an interdocument, US
Patent 5,576,824, May 5, 1998.
8. LK Mestha et al., Control elements in production printing and publishing systems:
DocuColor iGen3, in 42nd IEEE Conference on Decision and Control, Vol. 4,
pp. 4096 - 4108, Dec. 9 - 12, 2003.
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