Color space transformations are frequently used in image processing, graphics, and visualization applications. In many cases, these transformations are complex nonlinear functions, which prohibits their use in time-critical applications. In this paper, we present a new approach called Minimax Approximations for Color-space Transformations (MACT).We demonstrate MACT on three commonly used color space transformations. Extensive experiments on a large and diverse image set and comparisons with well-known multidimensional lookup table interpolation methods show that MACT achieves an excellent balance among four criteria: ease of implementation, memory usage, accuracy, and computational speed.
@article{arxiv.1009.0854,
title = {Fast Color Space Transformations Using Minimax Approximations},
author = {M. Emre Celebi and Hassan Kingravi and Fatih Celiker},
journal= {arXiv preprint arXiv:1009.0854},
year = {2010}
}