Color transformations in digital imaging systems are often implemented with lookup tables (LUTs) that require some form of multidimensional interpolation. Such LUT based transformations typically involve a trade-off between the computational cost, required storage and/or memory, and the resulting accuracy of the transform. In this article, novel methods are proposed for improving some of these quality-cost trade-offs. The methods fall in two categories: (i) those that improve the trade-off between computational cost and quality; and (ii) those that enhance the trade-off between LUT size and quality. Results show that promising trade-offs can be achieved by exploiting the properties of the human visual system, as well as the characteristics of the function being approximated by the LUT.
Raja Balasubramanian, "Reducing the Cost of Lookup Table Based Color Transformations" in Journal of Imaging Science and Technology, 2000, pp 321 - 327, https://doi.org/10.2352/J.ImagingSci.Technol.2000.44.4.art00008