<p>A
halftoning method with Neugebauer Primary Area Coverage direct binary search
(NPAC-DBS) is developed. With the optimized human visual system (HVS) model, we
are able obtain homogeneous and smooth halftone colored image. The halftoning
is based on separating the colored image represented in Neugebauer Primary in
three channels based on human visual system, with swap-only DBS, we arrange the
dots to bring the error metric to its minimum and the optimized halftone image
is obtained. The separation of chrominance HVS filters between red-green and
blue-yellow channels allows us to represent HVS more accurately. Color halftone
images generated using this method and method of using traditional screening
methods are compared.</p>
<p>In
order to speed up the halftone process with similar quality of NPAC-DBS, we
developed PARAWACS screens for color halftoning. PARAWACS screen is designed
level by level using DBS. With PARAWACS screen, we can create halftone using
simple pixel by pixel comparison with the merit of DBS. We further optimized
the screen to achieve the best quality.</p>
<p>Next, a novel halftoning method that we call
Ink-Saving, Single-Frequency, Single-Angle, Multi-Drop (IS-SF-SA-MD)
halftoning is introduced. The application target for our algorithm is high-volume production
ink-jet printing in which the user will value a reduction in ink usage. Unlike
commercial offset printing in which four-colorant printing is achieved by
rotating a single screen to four different angles, our method uses a single
frequency screen at a single angle, and it depends on accurate registration
between colorant planes to minimize dot-overlap especially between the black
(K) colorant and the other colorants (C, M, and Y). To increase the number of gray
levels for each colorant, we exploit the multidrop capabilities of the target
writing system. We also use the hybrid screening method to yield improved
halftone texture in the highlights and shadows. The proposed method can help
preserve ink significantly.</p>
Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/8037482 |
Date | 11 June 2019 |
Creators | Wanling Jiang (6631334) |
Source Sets | Purdue University |
Detected Language | English |
Type | Text, Thesis |
Rights | CC BY 4.0 |
Relation | https://figshare.com/articles/COLOR_HALFTONING_BASED_ON_NEUGEBAUER_PRIMARY_AREA_COVERAGE_AND_NOVEL_COLOR_HALFTONING_ALGORITHM_FOR_INK_SAVINGS/8037482 |
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