It is believed that vision is adapted to natural inputs. We investigate the relationship between natural time-varying image properties and visual sensitivities to spatial and motion signals. We hypothesize that the visual system is adapted to improve efficiency of visual representation through spatiotemporal decorrelation of input signals. The statistical properties of natural images, in particular, the power spectrum and the image velocity distribution are analyzed systematically and are used to predict the visual sensitivity. We show that the image power spectrum is a product of a spatial scale-invariant term and the velocity distribution and consequently, the contrast sensitivity to achieve the optimal coding is a function of the product of the same two terms. Some of the predictions are compared quantitatively with experimental data from neurophysiology and psychophysics. The agreements are good. We conclude that the spatiotemporal contrast sensitivity is organized to decorrelate the spatial and motion signal s thus improves the efficiency of information processing in natural environment.