A new edge-adaptive demosaicing algorithm for color filter arrays

Chi Yi Tsai, Kai-Tai Song*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


A novel edge-adaptive demosaicing algorithm (EADA) is proposed in this paper to effectively reduce color artifacts in demosaiced images from a color filter array (CFA). The proposed algorithm aims to reduce the aliasing error in red and blue channels by exploiting high-frequency information of the green channel. To achieve this, color-difference based edge-adaptive filtering and post-processing schemes are designed to reproduce the color values by exploiting the green channel information. For green channel interpolation, any of the existing image interpolation methods can be used and combined with the proposed algorithm. Moreover, a new adaptive interpolation method is presented for reconstructing the green channel from CFA samples. We have compared this technique with two recently proposed demosaicing techniques: Gunturk's and Lu's methods. The experimental results show that EADA outperforms both of them in both PSNR values and CIELAB Δ E ab * measures.

Original languageAmerican English
Pages (from-to)1495-1508
Number of pages14
JournalImage and Vision Computing
Issue number9
StatePublished - 1 Sep 2007


  • Adaptive filtering
  • CFA demosaicing
  • Color artifacts
  • Color reproduction
  • Image representation

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