PERCEPTUAL CORRECTION FOR COLOR GRADING USING SENSOR TRANSFORMATIONS AND METAMERIC DATA

We present a method of colour shade grading for industrial inspection of surfaces, the differences of which are at the threshold of human pe rception. This method converts the input data from the electronic sens or to the corresponding data as they would have been viewed using the human vision system. Then their differences are computed using a perce ptually uniform colour space, thus approximating the way the human exp erts would grade the product. The transformation from the electronic s ensor to the human sensor makes use of synthetic metameric data to det ermine the transformation parameters. The method has been tested using real data.