Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-09-04
IET Image Processing 4 (2010) 70-80
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
10.1049/iet-ipr.2008.0172
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.
Celebi Emre M.
Celiker Fatih
Kingravi Hassan
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