Improvement of Color Video Demosaicking in Temporal Domain

  • Authors:
  • Xiaolin Wu;Lei Zhang

  • Affiliations:
  • Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2006

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Abstract

Color demosaicking is critical to the image quality of digital still and video cameras that use a single-sensor array. Limited by the mosaic sampling pattern of the color filter array (CFA), color artifacts may occur in a demosaicked image in areas of high-frequency and/or sharp color transition structures. However, a color digital video camera captures a sequence of mosaic images and the temporal dimension of the color signals provides a rich source of information about the scene via camera and object motions. This paper proposes an inter-frame demosaicking approach to take advantage of all three forms of pixel correlations: spatial, spectral, and temporal. By motion estimation and statistical data fusion between adjacent mosaic frames, the new approach can remove much of the color artifacts that survive intra-frame demosaicking and also improve tone reproduction accuracy. Empirical results show that the proposed inter-frame demosaicking approach consistently outperforms its intra-frame counterparts both in peak signal-to-noise measure and subjective visual quality