We examined a method to evaluate visual texture of paper from the objective evaluation value for the image of the paper. We investigated four samples of western paper and six samples of Japanese paper with Semantic Differential method, and the results showed that the western paper samples had little difference in visual texture, while the Japanese paper samples had different visual textures, depending on the type of paper. Then, we applied Fourier transform to the visual reflectance data for the samples to find the spatial frequency distribution. An examination of the distribution revealed that each of the Japanese paper samples had frequency components with respective unique distribution that corresponds to graininess, block unevenness, or linear structure of fibers. This suggests the possibility of estimating visual texture of
paper from the frequency distribution of the image.