Abstract: Aiming at the defects of Traditional Histogram Equalization(THE) algorithm, for instance, over-enhancement, mean shift and detail loss, we proposed a method called global histogram equalization based on image sequence analysis in this paper. Respired by CLAHE(Contrast Limited Adaptive Histogram Equalization), this paper designed two mathematical models. The image gradient model got quality gradient images after inputting image. Then the hybrid optimization model got the optimal control parameter according to the statistical indicators of sequence images; To improve the subjective perception effect, we proposed a histogram post-processing method. Finally, the equalization process is performed according to the modified histogram.The results showed that the proposed method had good perception with both subjective and objective evaluation and it outperforms the state-of-the-art histogram equalization-based methods.