Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)
Original languageEnglish
Title of host publicationImage and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers
PublisherSpringer Verlag
Pages53-61
Number of pages9
Volume10749 LNCS
ISBN (Print)9783319757858
DOIs
Publication statusPublished - 1 Jan 2018
Event8th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2017 - Wuhan, China
Duration: 20 Nov 201724 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10749 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2017
CountryChina
CityWuhan
Period20/11/201724/11/2017

Fingerprint

Ink jet printers
Specification
Color
Specifications
Geodesic
Trajectories
Trajectory
Line
Differential Geometry
Smoothness
Binary
Gradient
Curve
Geometry
Interaction

Keywords

  • Characterization
  • Geodesic lines
  • Gradation surfaces
  • Ink-jet

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

WoS ResearchAreas Categories

  • Computer Science, Artificial Intelligence
  • Computer Science, Theory & Methods
  • Engineering, Electrical & Electronic
  • Imaging Science & Photographic Technology

Cite this

Milder, O., & Tarasov, D. (2018). Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management. In Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers (Vol. 10749 LNCS, pp. 53-61). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10749 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-75786-5_5
Milder, Oleg ; Tarasov, Dmitry. / Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management. Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Vol. 10749 LNCS Springer Verlag, 2018. pp. 53-61 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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title = "Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management",
keywords = "Characterization, Geodesic lines, Gradation surfaces, Ink-jet",
author = "Oleg Milder and Dmitry Tarasov",
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pages = "53--61",
booktitle = "Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers",
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Milder, O & Tarasov, D 2018, Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management. in Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. vol. 10749 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10749 LNCS, Springer Verlag, pp. 53-61, 8th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2017, Wuhan, China, 20/11/2017. https://doi.org/10.1007/978-3-319-75786-5_5

Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management. / Milder, Oleg; Tarasov, Dmitry.

Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Vol. 10749 LNCS Springer Verlag, 2018. p. 53-61 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10749 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Milder O, Tarasov D. Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management. In Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Vol. 10749 LNCS. Springer Verlag. 2018. p. 53-61. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-75786-5_5