Hybrid Variational Model for Texture Image Restoration

Liyan Ma*, Tieyong ZENG, Gongyan Li

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

6 Citations (Scopus)


The hybrid variational model for restoration of texture images corrupted by blur and Gaussian noise we consider combines total variation regularisation and a fractional-order regularisation, and is solved by an alternating minimisation direction algorithm. Numerical experiments demonstrate the advantage of this model over the adaptive fractional-order variational model in image quality and computational time.

Original languageEnglish
Pages (from-to)629-642
Number of pages14
JournalEast Asian Journal on Applied Mathematics
Issue number3
Publication statusPublished - 1 Aug 2017

Scopus Subject Areas

  • Applied Mathematics

User-Defined Keywords

  • fractional-order regularisation
  • Image deblurring
  • total variation


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