Article

Metal highlight spots removal based on multi-light-sources and total variation inpainting

Authors:

Yao Li,

Lizhuang MaAuthors Info & Claims

VRCIA '06: Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications

Pages 323 - 326

https://doi.org/10.1145/1128923.1128978

Published: 14 June 2006 Publication History

Get Access

Abstract

We present a novel highlight spots removal algorithm which can remove the highlight spots on the metal surface fast and efficiently. First, multi-light-sources is adopted to reduce the large region of the highlight spots which use several different light sources to get images and use the gradient to reconstruct an image. Multi-light-sources method cannot deal with the overlapped highlight spots. So we use the total variation inpainting model to restore the diffuse region from neighborhood of the specular spots to eliminate highlight spots completely. The light spots on the surface of the metal objects with complex texture can be removed effectively, and the physical property of the surface maintains well. Experiments show that the stereo matching algorithm whose input is the image pair after using the highlight spots removal algorithm can get much better result.

References

[1]

G. J. Klinker, S. A. Shafer, A. T. 1990. The measurement of highlights in color images. International Journal of Computer Vision 2, 7--32.

Crossref

Google Scholar

[2]

K.-J. Yoon, I.-S. K. 2004. Voting-based separation of diffuse and specular pixels. ELECTRONICS LETTERS 40, 20.

Crossref

Google Scholar

[3]

R. T. Tan, K. I. 2003. Separating reflection components of textured surfaces using a single image. In IEEE International Conference on Computer Vision (ICCV).

Digital Library

Google Scholar

[4]

Rogerio Feris, Ramesh Raskar, K. T. M. T. 2004. Non-photorealistic camera: Depth edge detection and stylized rendering using multi-flash imaging. In Proceedings of SIGGRAPH 2004, ACM Press/ACM SIGGRAPH, Computer Graphics Proceedings, Annual Conference Series, ACM.

Digital Library

Google Scholar

[5]

Sato, Y., and Ikeuchi, K. 1992. Temporal-color space analysis of reflection. Journal of Optics Society of America 11, 11, 2990--3002.

Google Scholar

[6]

S. K. Nayar, X. S. Fang, A. T. 1996. Separation of reflection components using color and polarization. International Journal of Computer Vision 21.

Digital Library

Google Scholar

[7]

S. Shafer. 1985. Using color to separate reflection components. Color Research and applications 10, 210--218.

Google Scholar

[8]

Tony F. Chan, J. S. 2000. Mathematical models local deterministic inpainting. UCLA CAM TR, 0--11.

Google Scholar

[9]

Wolf, L., and T. Boult. 1991. Constraining object features using polarization reflectance model. IEEE Trans on Pattern Analysis and Machine Intelligence 13, 7, 636--657.

Digital Library

Google Scholar

[10]

Yuri Boykov, Olga Veksler O. Veksler, R. Z. 2001. Fast approximate energy minimization via graph cuts. In EEE Trans. Pattern Anal. Mach. Intell, vol. 23.

Digital Library

Google Scholar

Cited By

View all

Xu HLi QChen J(2022)Highlight Removal from A Single Grayscale Image Using Attentive GANApplied Artificial Intelligence10.1080/08839514.2021.198844136:1Online publication date: 12-Mar-2022
https://doi.org/10.1080/08839514.2021.1988441
Yu DHan JJin XHan J(2014)Efficient highlight removal of metal surfacesSignal Processing10.1016/j.sigpro.2013.11.021103:C(367-379)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.sigpro.2013.11.021
Artusi ABanterle FChetverikov D(2011)A Survey of Specularity Removal MethodsComputer Graphics Forum10.1111/j.1467-8659.2011.01971.x30:8(2208-2230)Online publication date: 2-Aug-2011
https://doi.org/10.1111/j.1467-8659.2011.01971.x

Index Terms

Metal highlight spots removal based on multi-light-sources and total variation inpainting
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Shape modeling
      1. Parametric curve and surface models
      2. Volumetric models

Recommendations

Removing of metal highlight spots based on total variation inpainting with multi-sources-flashing
CIS'05: Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II

The removing of specular highlight spots has been the hotspot in the field of computer vision. A variety of methods have been designed to remove the specular on the surface of the objects. Unfortunately few paper on removal of (specular) highlight spots ...
Highlight Removal by Illumination-Constrained Inpainting
ICCV '03: Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2

We present a single-image highlight removal method that incorporates illumination-based constraints into image inpainting. Unlike occluded image regions filled by traditional inpainting, highlight pixels contain some useful information for guiding the ...
An Image Inpainting Technique Based on 8-Neighborhood Fast Sweeping Method
CMC '09: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 03

Image inpainting is an important element in image restoration study, whose purpose is to restore the lost information automatically based on existing information. Image inpainting can be used to restore damaged images and videos, remove text and hidden ...

Comments

Information & Contributors

Information

Published In

VRCIA '06: Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications

June 2006

410 pages

ISBN:1595933247

DOI:10.1145/1128923

Conference Chair:
Hanqiu Sun
Hong Kong

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

VRCIA06

Sponsor:

SIGGRAPH

VRCIA06: ACM International Conference on Virtual Reality Continuum and Its Applications 2006

June 14 - April 17, 2006

Hong Kong, China

Acceptance Rates

Overall Acceptance Rate 51 of 107 submissions, 48%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
282
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 18 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Xu HLi QChen J(2022)Highlight Removal from A Single Grayscale Image Using Attentive GANApplied Artificial Intelligence10.1080/08839514.2021.198844136:1Online publication date: 12-Mar-2022
https://doi.org/10.1080/08839514.2021.1988441
Yu DHan JJin XHan J(2014)Efficient highlight removal of metal surfacesSignal Processing10.1016/j.sigpro.2013.11.021103:C(367-379)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.sigpro.2013.11.021
Artusi ABanterle FChetverikov D(2011)A Survey of Specularity Removal MethodsComputer Graphics Forum10.1111/j.1467-8659.2011.01971.x30:8(2208-2230)Online publication date: 2-Aug-2011
https://doi.org/10.1111/j.1467-8659.2011.01971.x

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Removing of metal highlight spots based on total variation inpainting with multi-sources-flashing

Highlight Removal by Illumination-Constrained Inpainting

An Image Inpainting Technique Based on 8-Neighborhood Fast Sweeping Method

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Removing of metal highlight spots based on total variation inpainting with multi-sources-flashing

Highlight Removal by Illumination-Constrained Inpainting

An Image Inpainting Technique Based on 8-Neighborhood Fast Sweeping Method

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations