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arXiv · 1009.0854

Fast Color Space Transformations Using Minimax Approximations

M. Emre Celebi·Hassan Kingravi·Fatih Celiker
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Abstract

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.

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M. Emre Celebi, Hassan Kingravi, Fatih Celiker. 2010-09-04. Fast Color Space Transformations Using Minimax Approximations. https://doi.org/10.1049/iet-ipr.2008.0172

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