Image colorization by fusion of color transfers based on DFT and variance features

Zhengmeng Jin*, Lihua Min, Kwok Po NG, Minling Zheng

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

12 Citations (Scopus)


Color transfer methods usually suffer from spatial color coherency problem. In order to address this problem, this paper develops a fused color transfer method for image colorization. Our idea is to design a local student's t-test to screen the incoherent colors in the preliminary colorization results obtained by a simple color transfer method with DFT and variance features. Furthermore, we propose a variational fusion model to inpaint these incoherent colors and fuse the other useful colors together. We also present an efficient algorithm for solving the fusion model numerically, and show the convergence of the algorithm. Finally, experimental results are reported to demonstrate the effectiveness of the proposed method, and its performance is competitive with those of the other testing methods.

Original languageEnglish
Pages (from-to)2553-2567
Number of pages15
JournalComputers and Mathematics with Applications
Issue number9
Publication statusPublished - 1 May 2019

Scopus Subject Areas

  • Modelling and Simulation
  • Computational Theory and Mathematics
  • Computational Mathematics

User-Defined Keywords

  • ADMM
  • Image colorization
  • Non-local
  • Student's t-test
  • Variational fusion model


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