Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter

Xiaohua Zhang; Ning Xie; Yuelan Xin; Heming Huang

doi:doi:10.11648/j.cssp.s.2014030601.15

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Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter

Xiaohua Zhang, Ning Xie, Yuelan Xin, Heming Huang

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 3, Issue 6-1)

Received: 20 September 2014 Accepted: 28 January 2015 Published: 27 February 2015

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Abstract

A new non-photorealistic rendering algorithm is proposed for creating artistic painting with soft stream flow from natural color images. The algorithm consists mainly of two stages, that is, a revised bilateral filter called trilateral filter is firstly applied to original color image for creating drawings using gradient information and then a DoG-like band-pass filter is adapted for generating soft stream flow along the eigenvectors and therefore the image is smoothed along curved stream lines. The proposed trilateral filter is an extension of bilateral filter by incorporating gradient space. On the other hand, DoG-like band-pass filter is designed by applying eigenvectors and eigenvalues of a structure tensor matrix calculated at each pixel. Our approach effectively preserves image main structures while smoothing image regions in an anisotropic way. Even in regions with lower contrast, stream flow-like potential structures are also well produced due to a gradient relaxation. The experiments demonstrate that the proposed algorithm works well and produces good and pleasant visual results.

Published in	Science Journal of Circuits, Systems and Signal Processing (Volume 3, Issue 6-1) This article belongs to the Special Issue Computational Intelligence in Digital Image Processing
DOI	10.11648/j.cssp.s.2014030601.15
Page(s)	30-38
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Anisotropic Filter, DoG-Like Band-Pass Filter, Trilateral Filter, Stream Flow Painting

References

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APA Style

Xiaohua Zhang, Ning Xie, Yuelan Xin, Heming Huang. (2015). Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter. Science Journal of Circuits, Systems and Signal Processing, 3(6-1), 30-38. https://doi.org/10.11648/j.cssp.s.2014030601.15

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ACS Style

Xiaohua Zhang; Ning Xie; Yuelan Xin; Heming Huang. Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter. Sci. J. Circuits Syst. Signal Process. 2015, 3(6-1), 30-38. doi: 10.11648/j.cssp.s.2014030601.15

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AMA Style

Xiaohua Zhang, Ning Xie, Yuelan Xin, Heming Huang. Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter. Sci J Circuits Syst Signal Process. 2015;3(6-1):30-38. doi: 10.11648/j.cssp.s.2014030601.15

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@article{10.11648/j.cssp.s.2014030601.15,
  author = {Xiaohua Zhang and Ning Xie and Yuelan Xin and Heming Huang},
  title = {Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter},
  journal = {Science Journal of Circuits, Systems and Signal Processing},
  volume = {3},
  number = {6-1},
  pages = {30-38},
  doi = {10.11648/j.cssp.s.2014030601.15},
  url = {https://doi.org/10.11648/j.cssp.s.2014030601.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.s.2014030601.15},
  abstract = {A new non-photorealistic rendering algorithm is proposed for creating artistic painting with soft stream flow from natural color images. The algorithm consists mainly of two stages, that is, a revised bilateral filter called trilateral filter is firstly applied to original color image for creating drawings using gradient information and then a DoG-like band-pass filter is adapted for generating soft stream flow along the eigenvectors and therefore the image is smoothed along curved stream lines. The proposed trilateral filter is an extension of bilateral filter by incorporating gradient space. On the other hand, DoG-like band-pass filter is designed by applying eigenvectors and eigenvalues of a structure tensor matrix calculated at each pixel. Our approach effectively preserves image main structures while smoothing image regions in an anisotropic way. Even in regions with lower contrast, stream flow-like potential structures are also well produced due to a gradient relaxation. The experiments demonstrate that the proposed algorithm works well and produces good and pleasant visual results.},
 year = {2015}
}

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TY  - JOUR
T1  - Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter
AU  - Xiaohua Zhang
AU  - Ning Xie
AU  - Yuelan Xin
AU  - Heming Huang
Y1  - 2015/02/27
PY  - 2015
N1  - https://doi.org/10.11648/j.cssp.s.2014030601.15
DO  - 10.11648/j.cssp.s.2014030601.15
T2  - Science Journal of Circuits, Systems and Signal Processing
JF  - Science Journal of Circuits, Systems and Signal Processing
JO  - Science Journal of Circuits, Systems and Signal Processing
SP  - 30
EP  - 38
PB  - Science Publishing Group
SN  - 2326-9073
UR  - https://doi.org/10.11648/j.cssp.s.2014030601.15
AB  - A new non-photorealistic rendering algorithm is proposed for creating artistic painting with soft stream flow from natural color images. The algorithm consists mainly of two stages, that is, a revised bilateral filter called trilateral filter is firstly applied to original color image for creating drawings using gradient information and then a DoG-like band-pass filter is adapted for generating soft stream flow along the eigenvectors and therefore the image is smoothed along curved stream lines. The proposed trilateral filter is an extension of bilateral filter by incorporating gradient space. On the other hand, DoG-like band-pass filter is designed by applying eigenvectors and eigenvalues of a structure tensor matrix calculated at each pixel. Our approach effectively preserves image main structures while smoothing image regions in an anisotropic way. Even in regions with lower contrast, stream flow-like potential structures are also well produced due to a gradient relaxation. The experiments demonstrate that the proposed algorithm works well and produces good and pleasant visual results.
VL  - 3
IS  - 6-1
ER  -

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Author Information

Xiaohua Zhang

Department of Information System and Management, Hiroshima Institute of Technology, Hiroshima, Japan
Ning Xie

School of Software Engineering, Tongji University, Shanghai, China
Yuelan Xin

Department of Physics, Qinghai Normal University, Xining, China
Heming Huang

School of Computer Science, Qinghai Normal University, Xining, China

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Plain Text BibTeX RIS

APA Style

Xiaohua Zhang, Ning Xie, Yuelan Xin, Heming Huang. (2015). Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter. Science Journal of Circuits, Systems and Signal Processing, 3(6-1), 30-38. https://doi.org/10.11648/j.cssp.s.2014030601.15

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ACS Style

Xiaohua Zhang; Ning Xie; Yuelan Xin; Heming Huang. Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter. Sci. J. Circuits Syst. Signal Process. 2015, 3(6-1), 30-38. doi: 10.11648/j.cssp.s.2014030601.15

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AMA Style

Xiaohua Zhang, Ning Xie, Yuelan Xin, Heming Huang. Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter. Sci J Circuits Syst Signal Process. 2015;3(6-1):30-38. doi: 10.11648/j.cssp.s.2014030601.15

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@article{10.11648/j.cssp.s.2014030601.15,
  author = {Xiaohua Zhang and Ning Xie and Yuelan Xin and Heming Huang},
  title = {Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter},
  journal = {Science Journal of Circuits, Systems and Signal Processing},
  volume = {3},
  number = {6-1},
  pages = {30-38},
  doi = {10.11648/j.cssp.s.2014030601.15},
  url = {https://doi.org/10.11648/j.cssp.s.2014030601.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.s.2014030601.15},
  abstract = {A new non-photorealistic rendering algorithm is proposed for creating artistic painting with soft stream flow from natural color images. The algorithm consists mainly of two stages, that is, a revised bilateral filter called trilateral filter is firstly applied to original color image for creating drawings using gradient information and then a DoG-like band-pass filter is adapted for generating soft stream flow along the eigenvectors and therefore the image is smoothed along curved stream lines. The proposed trilateral filter is an extension of bilateral filter by incorporating gradient space. On the other hand, DoG-like band-pass filter is designed by applying eigenvectors and eigenvalues of a structure tensor matrix calculated at each pixel. Our approach effectively preserves image main structures while smoothing image regions in an anisotropic way. Even in regions with lower contrast, stream flow-like potential structures are also well produced due to a gradient relaxation. The experiments demonstrate that the proposed algorithm works well and produces good and pleasant visual results.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter
AU  - Xiaohua Zhang
AU  - Ning Xie
AU  - Yuelan Xin
AU  - Heming Huang
Y1  - 2015/02/27
PY  - 2015
N1  - https://doi.org/10.11648/j.cssp.s.2014030601.15
DO  - 10.11648/j.cssp.s.2014030601.15
T2  - Science Journal of Circuits, Systems and Signal Processing
JF  - Science Journal of Circuits, Systems and Signal Processing
JO  - Science Journal of Circuits, Systems and Signal Processing
SP  - 30
EP  - 38
PB  - Science Publishing Group
SN  - 2326-9073
UR  - https://doi.org/10.11648/j.cssp.s.2014030601.15
AB  - A new non-photorealistic rendering algorithm is proposed for creating artistic painting with soft stream flow from natural color images. The algorithm consists mainly of two stages, that is, a revised bilateral filter called trilateral filter is firstly applied to original color image for creating drawings using gradient information and then a DoG-like band-pass filter is adapted for generating soft stream flow along the eigenvectors and therefore the image is smoothed along curved stream lines. The proposed trilateral filter is an extension of bilateral filter by incorporating gradient space. On the other hand, DoG-like band-pass filter is designed by applying eigenvectors and eigenvalues of a structure tensor matrix calculated at each pixel. Our approach effectively preserves image main structures while smoothing image regions in an anisotropic way. Even in regions with lower contrast, stream flow-like potential structures are also well produced due to a gradient relaxation. The experiments demonstrate that the proposed algorithm works well and produces good and pleasant visual results.
VL  - 3
IS  - 6-1
ER  -

Copy | Download