Semiautomatic Color Checker Detection in Distorted Images

T. Tajbakhsh and R.R. Grigat (Germany)


color checker detection, pattern recognition, image analysis and segmentation


In order to map the color space of a raw digital image into a certain rendering space such as sRGB or Adobe RGB, which are commonly used in consumer digital cameras, a calibrated color checker (CC) target is required. Com mon targets are the GretagMacbeth ColorChecker and the Digital ColorChecker SG. In order to reproduce the scene colors at a certain illumination condition, the target is to be detected in the image and its average color tristimulus values are to be extracted out of the checker fields. With the proper field colors in a certain reference space, finally, a color mapping can be determined. We propose a novel semi-automatic method for the target detection and color extraction process. We consider projective and polynomial geometry and hence, the target can be in any alignment in the scene. In our experiments we show the robustness of our method, even on radially distorted images. Finally, we apply color correction using polynomial least-squares fit in sRGB domain.

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