The aim of this study was to propose a method for enhancing the images based on the Itti objective model and eye movement subjective model. The saliency maps were obtained based on the subjective and objective human visual characteristics and used in the construction of histogram, and parameters were adopted to combine the Itti objective visual attention computational model and the saliency maps generated based on the data obtained from eye movement subjective experiments. Then the corresponding regions of the image were adjusted based on the new weighted coefficient to enhance the image, and the objective image enhancement quality assessment algorithm based on visual perception was used for the evaluation. The objective evaluation algorithm based on visual perception showed that by adjusting the proportions of the Itti objective model and eye movement subjective model through changing the value of parameter λ, different enhancement results could be achieved. When λ=0.7 m the proposed method gave better image enhancement effect than that based on the Itti objective model and eye movement subjective model. Image enhancement based on combined subjective and objective human visual characteristics was better than the traditional image enhancement algorithms, and showed satisfactory visual effect.