A vectorization framework for constant and linear gradient filled regions.
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| Title: | A vectorization framework for constant and linear gradient filled regions. |
|---|---|
| Authors: | Kansal, Ruchin1 rkansal@adobe.com, Kumar, Subodh1 subodh@cse.iitd.ac.in |
| Source: | Visual Computer. May2015, Vol. 31 Issue 5, p717-732. 16p. |
| Subjects: | Vector graphics, Derivatives (Mathematics), Computer software, Adobe Illustrator (Computer software), Energy function, Pixels |
| Abstract: | Linear gradients are commonly applied in non-photographic artwork for shading and other artistic effects. It is sometimes necessary to generate a vector graphics form of raster images comprising such artwork with the expectation to obtain a simple output and plug it into a traditional workflow, to be further edited and arranged. Many such workflows support only linear gradients and our goal is to generate a standard vector form of the image that can fit such workflow. This vectorization process should be automatic with minimal user intervention. We present a simple image vectorization algorithm that detects regions of linear gradient in potentially noisy images and reconstructs the vector definition on the basis of that information. It uses a novel interval gradient optimization scheme to derive large regions of uniform gradient. We also demonstrate the technique on noisy and hand-drawn portraits. [ABSTRACT FROM AUTHOR] |
| Copyright of Visual Computer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 102427545 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A vectorization framework for constant and linear gradient filled regions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kansal%2C+Ruchin%22">Kansal, Ruchin</searchLink><relatesTo>1</relatesTo><i> rkansal@adobe.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Subodh%22">Kumar, Subodh</searchLink><relatesTo>1</relatesTo><i> subodh@cse.iitd.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Visual+Computer%22">Visual Computer</searchLink>. May2015, Vol. 31 Issue 5, p717-732. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Vector+graphics%22">Vector graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Derivatives+%28Mathematics%29%22">Derivatives (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Adobe+Illustrator+%28Computer+software%29%22">Adobe Illustrator (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+function%22">Energy function</searchLink><br /><searchLink fieldCode="DE" term="%22Pixels%22">Pixels</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Linear gradients are commonly applied in non-photographic artwork for shading and other artistic effects. It is sometimes necessary to generate a vector graphics form of raster images comprising such artwork with the expectation to obtain a simple output and plug it into a traditional workflow, to be further edited and arranged. Many such workflows support only linear gradients and our goal is to generate a standard vector form of the image that can fit such workflow. This vectorization process should be automatic with minimal user intervention. We present a simple image vectorization algorithm that detects regions of linear gradient in potentially noisy images and reconstructs the vector definition on the basis of that information. It uses a novel interval gradient optimization scheme to derive large regions of uniform gradient. We also demonstrate the technique on noisy and hand-drawn portraits. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Visual Computer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00371-014-0997-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 717 Subjects: – SubjectFull: Vector graphics Type: general – SubjectFull: Derivatives (Mathematics) Type: general – SubjectFull: Computer software Type: general – SubjectFull: Adobe Illustrator (Computer software) Type: general – SubjectFull: Energy function Type: general – SubjectFull: Pixels Type: general Titles: – TitleFull: A vectorization framework for constant and linear gradient filled regions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kansal, Ruchin – PersonEntity: Name: NameFull: Kumar, Subodh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 01782789 Numbering: – Type: volume Value: 31 – Type: issue Value: 5 Titles: – TitleFull: Visual Computer Type: main |
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