Simultaneous cartoon and texture inpainting

Jian-Feng CAI, Raymond H. CHAN, Zuowei SHEN

Research output: Journal PublicationsJournal Article (refereed)peer-review

80 Citations (Scopus)

Abstract

Real images usually have two layers, namely, cartoons (the piece-wise smooth part of the image) and textures (the oscillating pattern part of the image). Both these two layers have sparse approximations under some tight frame systems such as framelet, translation invariant wavelet, curvelet, and local DCTs. In this paper, we solve image inpainting problems by using two separate tight frame systems which can sparsely represent cartoons and textures respectively. Different from existing schemes in the literature which are either analysis-based or synthesis-based sparsity priors, our minimization formulation balances these two priors. We also derive iterative algorithms to find their solutions and prove their convergence. Numerical simulation examples are given to demonstrate the applicability and usefulness of our proposed algorithms in image inpainting.

Original languageEnglish
Pages (from-to)379-395
Number of pages17
JournalInverse Problems and Imaging
Volume4
Issue number3
DOIs
Publication statusPublished - Aug 2010
Externally publishedYes

Funding

The first author is supported by the Wavelets and Information Processing Programme under a grant from DSTA, Singapore, and the second author is supported in part by HKRGC Grant CUHK 400508.

Keywords

  • Cartoon and texture
  • Image inpainting
  • Tight frame

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