Color demosaicking via directional linear minimum mean square-error estimation

Lei Zhang, Xiaolin Wu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

293 Citations (Scopus)

Abstract

Digital cameras sample scenes using a color filter array of mosaic pattern (e.g., the Bayer pattern). The demosaicking of the color samples is critical to the image quality. This paper presents a new color demosaicking technique of optimal directional filtering of the green-red and green-blue difference signals. Under the assumption that the primary difference signals (PDS) between the green and red/blue channels are low pass, the missing green samples are adaptively estimated in both horizontal and vertical directions by the linear minimum mean square-error estimation (LMMSE) technique. These directional estimates are then optimally fused to further improve the green estimates. Finally, guided by the demosaicked full-resolution green channel, the other two color channels are reconstructed from the LMMSE filtered and fused PDS. The experimental results show that the presented color demosaicking technique outperforms the existing methods both in PSNR measure and visual perception.
Original languageEnglish
Pages (from-to)2167-2178
Number of pages12
JournalIEEE Transactions on Image Processing
Volume14
Issue number12
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes

Keywords

  • Bayer color filter array (CFA)
  • Color demosaicking
  • Directional filtering
  • Linear minimum mean square-error estimation (LMMSE)

ASJC Scopus subject areas

  • Software
  • Medicine(all)
  • Computer Graphics and Computer-Aided Design

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