White Balancing with Multi-Channel CMOS Sensors

Color image acquisition and image processing have become a key in modern data applications. In order to provide high quality images, the field of accurate acquisition is most important in respect to all further processing steps. This is especially true for color correction and white balancing on color sensors. But a whole variety of current image sensors possess an incorrect color rendition due to insufficient accuracy of optical sensor parameters. In these cases specific color information is incorrectly acquired. Further, traditional color correction and white balancing methods do not use information on the specific sensor spectral sensitivity, thus losing the only capable information for a substantial correction. The problem is investigated by introducing an algorithmic correction method which is capable of correcting dysfunctional sensor properties. Further we will show the concept of white balancing with multi-channel sensors capable of high quality color rendition presenting examples and simulation results.