We suggest a framework for predicting color appearance of image data. The image data are converted by a series of standardizing transformations into a simpler stimulus with the same color appearance. By working through these standardizing transformations, we can build color appearance models for images without abandoning—or repeating—much of the work that has gone into defining the visual properties of the CIE standard observer.