BIBLIOGRAPHY.bib

@incollection{Losson2010c,
  title        = {Comparison of Color Demosaicing Methods},
  booktitle    = {Advances in Imaging and Electron Physics},
  author       = {Losson, O. and Macaire, L. and Yang, Y.},
  year         = 2010,
  volume       = 162,
  pages        = {173--265},
  issn         = 10765670,
  doi          = {10.1016/S1076-5670(10)62005-8},
  abstract     = {Mono-CCD color cameras acquire only one color
    component at each pixel by means of their color filter array (CFA)
    covering the CCD sensor. To obtain a color image, a procedure -
    called demosaicing - is then necessary to estimate the other two
    missing color components at each pixel. This chapter deals with
    the quality of color images generated in such a way. We attempt to
    determine which demosaicing method provides the best results
    according to several comparison criteria, particularly for
    subsequent needs of color image analyses like edge detection.},
  isbn         = {978-0-12-381316-9},
}
@inproceedings{Malvar2004a,
  title        = {High-Quality Linear Interpolation for Demosaicing of
    Bayer-Patterned Color Images},
  booktitle    = {International Conference of Acoustic, Speech and
    Signal Processing},
  author       = {Malvar, Henrique S and He, Li-Wei and Cutler, Ross
    and Way, One Microsoft},
  year         = 2004,
  month        = may,
  pages        = {5--8},
  publisher    = {Institute of Electrical and Electronics Engineers,
    Inc.},
  url          = {http://research.microsoft.com/apps/pubs/default.aspx?id=102068},
  abstract     = {{$<$}p{$>$}This paper introduces a new interpolation
    technique for demosaicing of color images produced by single-CCD
    digital cameras. We show that the proposed simple linear filter
    can lead to an improvement in PSNR of over 5.5 dB when compared to
    bilinear demosaicing, and about 0.7 dB improvement in R and B
    interpolation when compared to a recently introduced linear
    interpolator. The proposed filter also outperforms most nonlinear
    demosaicing algorithms, without the artifacts due to nonlinear
    processing, and a much reduced computational
    complexity.{$<$}/p{$>$}},
}
@article{Menon2007c,
  title        = {Demosaicing With Directional Filtering and a
    posteriori Decision},
  author       = {Menon, Daniele and Andriani, Stefano and Calvagno,
    Giancarlo},
  year         = 2007,
  month        = jan,
  volume       = 16,
  pages        = {132--141},
  issn         = {1057-7149},
  doi          = {10.1109/TIP.2006.884928},
  abstract     = {Most digital cameras use a color filter array to
    capture the colors of the scene. Downsampled versions of the red,
    green, and blue components are acquired, and an interpolation of
    the three colors is necessary to reconstruct a full representation
    of the image. This color interpolation is known as demosaicing.
    The most effective demosaicing techniques proposed in the
    literature are based on directional filtering and a posteriori
    decision. In this paper, we present a novel approach to this
    reconstruction method. A refining step is included to further
    improve the resulting reconstructed image. The proposed approach
    requires a limited computational cost and gives good performance
    even when compared to more demanding techniques.},
  isbn         = 2003506969,
  journal      = {IEEE Transactions on Image Processing},
  keywords     = {Bayer pattern,Color filter array (CFA)
    interpolation,Demosaicing,Digital cameras,Directional filtering},
  number       = 1,
  pmid         = 17283772,
}