Color correction via robust reference selection and recovery using a low-rank matrix model

Dong Li, Xudong Xie, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


In this paper, we propose a method that can handle the color correction of a large collection of photographs simultaneously and automatically via robust reference selection. The method does not use any particular model to handle the errors on the photographs, but corrects all kinds of errors caused by changes of viewpoint, large illumination variations, gross pixel corruptions, and partial occlusions under a low-rank matrix model. Furthermore, our method uses the image pixel values directly in vector form, which preserves the spatial information, to obtain the matrix for color correction, unlike other statistics-based image-representation methods such as color histograms. Experiments verify that our method can achieve consistent and promising results on uncontrolled real photographs acquired from the Internet.
Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Number of pages4
Publication statusPublished - 1 Dec 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sep 201114 Sep 2011


Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011


  • color constancy
  • Color correction
  • low-rank matrix model
  • rank minimization

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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