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Optimization-Based Gradient Mesh Colour Transfer.

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Title: Optimization-Based Gradient Mesh Colour Transfer.
Authors: Xiao, Yi1,2 yixiao1984@gmail.com, Wan, Liang3 lwan@tju.edu.cn, Leung, Chi Sing2 eeleungc@cityu.edu.hk, Lai, Yu‐Kun4 yukun.lai@cs.cardiff.ac.uk, Wong, Tien‐Tsin5 ttwong@cse.cuhk.edu.hk
Source: Computer Graphics Forum. Sep2015, Vol. 34 Issue 6, p123-134. 12p. 11 Color Photographs, 3 Charts, 1 Graph.
Subjects: Vector graphics, Mesh analysis (Electric circuits), Color image processing, Mathematical optimization, Gaussian processes
Abstract: In vector graphics, gradient meshes represent an image object by one or more regularly connected grids. Every grid point has attributes as the position, colour and gradients of these quantities specified. Editing the attributes of an existing gradient mesh (such as the colour gradients) is not only non-intuitive but also time-consuming. To facilitate user-friendly colour editing, we develop an optimization-based colour transfer method for gradient meshes. The key idea is built on the fact that we can approximate a colour transfer operation on gradient meshes with a linear transfer function. In this paper, we formulate the approximation as an optimization problem, which aims to minimize the colour distribution of the example image and the transferred gradient mesh. By adding proper constraints, i.e. image gradients, to the optimization problem, the details of the gradient meshes can be better preserved. With the linear transfer function, we are able to edit the colours and colour gradients of the mesh points automatically, while preserving the structure of the gradient mesh. The experimental results show that our method can generate pleasing recoloured gradient meshes. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell 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.)
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  Data: Optimization-Based Gradient Mesh Colour Transfer.
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  Data: <searchLink fieldCode="AR" term="%22Xiao%2C+Yi%22">Xiao, Yi</searchLink><relatesTo>1,2</relatesTo><i> yixiao1984@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Wan%2C+Liang%22">Wan, Liang</searchLink><relatesTo>3</relatesTo><i> lwan@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Leung%2C+Chi+Sing%22">Leung, Chi Sing</searchLink><relatesTo>2</relatesTo><i> eeleungc@cityu.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Lai%2C+Yu‐Kun%22">Lai, Yu‐Kun</searchLink><relatesTo>4</relatesTo><i> yukun.lai@cs.cardiff.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Wong%2C+Tien‐Tsin%22">Wong, Tien‐Tsin</searchLink><relatesTo>5</relatesTo><i> ttwong@cse.cuhk.edu.hk</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Sep2015, Vol. 34 Issue 6, p123-134. 12p. 11 Color Photographs, 3 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Vector+graphics%22">Vector graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Mesh+analysis+%28Electric+circuits%29%22">Mesh analysis (Electric circuits)</searchLink><br /><searchLink fieldCode="DE" term="%22Color+image+processing%22">Color image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+processes%22">Gaussian processes</searchLink>
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  Data: In vector graphics, gradient meshes represent an image object by one or more regularly connected grids. Every grid point has attributes as the position, colour and gradients of these quantities specified. Editing the attributes of an existing gradient mesh (such as the colour gradients) is not only non-intuitive but also time-consuming. To facilitate user-friendly colour editing, we develop an optimization-based colour transfer method for gradient meshes. The key idea is built on the fact that we can approximate a colour transfer operation on gradient meshes with a linear transfer function. In this paper, we formulate the approximation as an optimization problem, which aims to minimize the colour distribution of the example image and the transferred gradient mesh. By adding proper constraints, i.e. image gradients, to the optimization problem, the details of the gradient meshes can be better preserved. With the linear transfer function, we are able to edit the colours and colour gradients of the mesh points automatically, while preserving the structure of the gradient mesh. The experimental results show that our method can generate pleasing recoloured gradient meshes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell 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:
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    Identifiers:
      – Type: doi
        Value: 10.1111/cgf.12524
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 123
    Subjects:
      – SubjectFull: Vector graphics
        Type: general
      – SubjectFull: Mesh analysis (Electric circuits)
        Type: general
      – SubjectFull: Color image processing
        Type: general
      – SubjectFull: Mathematical optimization
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      – SubjectFull: Gaussian processes
        Type: general
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      – TitleFull: Optimization-Based Gradient Mesh Colour Transfer.
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            NameFull: Xiao, Yi
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            NameFull: Wan, Liang
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            NameFull: Leung, Chi Sing
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              M: 09
              Text: Sep2015
              Type: published
              Y: 2015
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