A spatially variant total variational model for chromatic aberration correction

Ling Pi, Wei Wang, Kwok Po NG*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

10 Citations (Scopus)


In this paper, we propose a spatially variant total variational model to correct chromatic aberration (CA) that causes false color artifacts near edges in captured images. In general, it may be very difficult to determine suitably CA regions in captured images. Instead of using local image processing methods, our idea is to make use of spatially variant model to control the gradient and intensity matching between the red and blue color channels and the green color channel at the edges. The total variation regularization is also employed to constraint the change of the intensity of red and blue color channels during the gradient and intensity matching. We present both theoretical results and algorithms for the proposed model. Experimental results are given to illustrate the effectiveness of the proposed model and algorithm and show that their corrected images are visually better than those corrected by the other testing methods.

Original languageEnglish
Pages (from-to)296-304
Number of pages9
JournalJournal of Visual Communication and Image Representation
Publication statusPublished - 1 Nov 2016

Scopus Subject Areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Chromatic aberration
  • Iterative algorithm
  • Spatially variant
  • Total variational


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