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Special Section—Selected Papers from IS&T's Tenth Color Imaging Conference
Volume: 47 | Article ID: art00010
Binary Proportional Interpolation for Color Space Conversion
  DOI :  10.2352/J.ImagingSci.Technol.2003.47.6.art00010  Published OnlineNovember 2003

An algorithm which exploits binary data representation for efficiently interpolating lookup tables (LUTs) is developed. Some implementation cost and accuracy trade-offs among trilinear, tetrahedral and binary proportional interpolation (BPI) when constrained to no more than one LUT access per pixel are compared for color space conversion of digital images. A simpler sample dither implementation of BPI, called Neighborhood Mask Dither Interpolation (NMDI), is also described.

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Steven F. Weed, Tomasz J. Cholewo, "Binary Proportional Interpolation for Color Space Conversionin Journal of Imaging Science and Technology,  2003,  pp 525 - 530,

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Copyright © Society for Imaging Science and Technology 2003
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