IEEE Computer Graphics and Applications
Accurate 3D image colour histogram transformation
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
An efficient PCA-based color transfer method
Journal of Visual Communication and Image Representation
Automated colour grading using colour distribution transfer
Computer Vision and Image Understanding
Numerical Methods for Special Functions
Numerical Methods for Special Functions
Color correction for multi-view video based on background segmentation and dominant color extraction
WSEAS Transactions on Computers
Online multiple view computation for autostereoscopic display
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Iterative colour correction of multicamera systems using corresponding feature points
Journal of Visual Communication and Image Representation
Fast color correction for multi-view video by modeling spatio-temporal variation
Journal of Visual Communication and Image Representation
Coding Algorithms for 3DTV—A Survey
IEEE Transactions on Circuits and Systems for Video Technology
A Variational Model for Histogram Transfer of Color Images
IEEE Transactions on Image Processing
Color style transfer techniques using hue, lightness and saturation histogram matching
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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Colorimetric correction is a necessary task to generate comfortable stereoscopic images. This correction is usually performed with a 3D lookup table that can correct images in real-time and can deal with the non-independence of the colour channels. In this paper, we present a method to compute such 3D lookup table with a non-linear process that minimizes the colorimetric properties of the images. This lookup table is represented by a polynomial basis to reduce the number of required parameters. We also describe some optimizations to speedup the processing time.