Color image acquisition and image processing have become a key in modern data application. In order to provide high quality images, the field of accurate acquisition is most important in respect to all further processing steps. But a whole variety of current image sensors possess incorrect color rendition due to insufficient accuracy of optical sensor parameters. This is detrimental especially for color sensors, because in these cases specific color information will be incorrectly acquired. Further, traditional color correction methods do not use information on the specific sensor spectral sensitivity, thus losing the only capable information for substantial color correction. The problem is investigated by introducing an algorithmic correction method which is capable of correcting dysfunctional sensor properties. It can be easily integrated into traditional sensor designs and is also extendable to various designs/technologies. Further we will show concepts of multi-channel sensors capa...