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Color reconstruction in digital cameras: optimization for document images

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Abstract.

Digital cameras normally sample one color at each pixel. Missing colors are obtained by spatial interpolation, decreasing resolution relative to images acquired with a greyscale sensor. The consequence for document imaging is higher text recognition error rates. This paper introduces the horizontal-vertical regression (HVR) method for document-optimized color reconstruction. HVR exploits a local two-color approximation, making spatial interpolation unnecessary. Comparison with the best alternative reconstruction methods indicates large reductions in error rates for text resulting from HVR, as well as improvements in intermediate color and binary images.

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Authors and Affiliations

  1. Xerox Research Centre Europe, 6 chemin de Maupertuis, 38240, Meylan, France

    C. Dance & L. Fan

Authors
  1. C. Dance
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  2. L. Fan
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Correspondence to C. Dance.

Additional information

Received: 11 June 2003, Accepted: 6 March 2004, Published online: 2 February 2005

C. Dance: Correspondence to

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Dance, C., Fan, L. Color reconstruction in digital cameras: optimization for document images. IJDAR 7, 138–146 (2005). https://doi.org/10.1007/s10032-004-0130-7

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  • DOI: https://doi.org/10.1007/s10032-004-0130-7

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