A computational model of visual attention is proposed to simulate biologic visual information processing based on visual entropy. It is achieved by using low-level features of images and considering the human eye on the subjective measure of image information in visual entropy. First image is divided into 4×4 block images, images are calculated for each block of the mean, variance, range and rate of change in brightness. A center-surround operator is used to produce the conspicuous map of the images and incorporate them into a saliency map. Calculating each of the conspicuous regional’s visual entropy and regarding the most salient region as the focus of attention, the inhibition of return mechanism is used to transfer the visual focus to simulate the whole process of visual attention. The experimental results show that the model corresponds with the procedure of visual attention. Besides, it has low complexity and high utility value.