In this paper, we investigate a multi-exposure multi-illuminant colorimetry system using a Kodak DCS460c digital camera. Our system consists of a measurement device and calibration matrices. The measurement device is formed by a digital camera and a set of filters, and the term multi-exposure refers to the multiple snapshots taken by this camera using different filters. The calibration matrices then take these filtered camera RGB outputs, and return the CIE XYZ tristimulus values under several pre-selected illumination conditions. Our objective is to find the optimal filters and the corresponding calibration matrices that minimize a cost function accounting for errors in L*a*b* space, system robustness, and filter smoothness.We applied this methodology and implemented a two-exposure camera system using Wratten filters. The experimental results are presented in this paper.