A computer model of human spatiochromatic vision, based on the scheme proposed by De Valois and De Valois has been developed. The implementation of the model enables true color 2-D images to be processed. The input consists of cone signals at each pixel. Subsequent levels of the model are represented by arrays of activity corresponding to the equivalent neural activity. The implementation allows the behavior of different stages of the model -- retinal and cortical -- to be studied with different varieties of spatial and chromatic stimuli of any complexity. In addition the model is extensible to allow different types of neural mechanisms and cortical demultiplexing processes to be incorporated. As well as providing qualitative insight into the operation of the different stages of the model the implementation also permits quantitative predictions to be made. Both increment threshold and hue naming results are predicted by the model, but the accuracy of these predictions is contingent upon an appropriate choice of adaptation state at the retinal cone and ganglion cell level.