Color demosaicking with an image formation model and adaptive PCA

Dahua Gao, Xiaolin Wu, Guangming Shi, Lei Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)

Abstract

Color demosaicking is an ill-posed inverse problem of image restoration. The performance of a color demosaicking algorithm depends on how thoroughly it can exploit domain knowledge to confine the solution space for the underlying true color image. We propose an ℓ 1 minimization technique for color demosaicking that exploits spectral and spatial sparse representations of natural images jointly. The spectral sparse representation is derived from a physical image formation model; the spatial sparse representation is based on a windowed adaptive principal component analysis. In some of most challenging cases of color demosaicking, the new technique outperforms many existing techniques by a large margin in PSNR and achieves higher visual quality.

Original languageEnglish
Pages (from-to)1019-1030
Number of pages12
JournalJournal of Visual Communication and Image Representation
Volume23
Issue number7
DOIs
Publication statusPublished - 1 Oct 2012

Keywords

  • Color demosaicking
  • Color filter array
  • Digital cameras
  • Image formation model
  • Principal component analysis
  • Sparse representation
  • Sparsity
  • Zipper effect

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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