A colorimetric evaluation of an image acquisition device is important for evaluating and optimizing a set of sensors. We have already proposed a colorimetric evaluation model [J. Imaging Sci. Technol. 49(6), 588-593 (2005)] based on the Wiener estimation. The mean square errors (MSE) between the estimated and the actual fundamental vectors by the Wiener filter agrees quite well with the proposed model and we have shown that the estimation of the noise variance of the image acquisition system is essential to the evaluation model. We also have confirmed that the proposed model can be applied to two different reflectance recovery models and that the proposed colorimetric quality (Qc) can be estimated by applying these models without a prior knowledge of the spectral characteristics of the sensors, the recording illuminant and the noise present in the image acquisition device, which are required for the estimation by the Wiener model.In this paper, the effects of the sampling intervals of the spectral reflectance and the quantization error to the evaluation model are studied and it is confirmed from the experimental results that at least 8-bit depth of the image data and 20-nm sampling intervals are required to apply the evaluation model accurately.