In the enhancement processing of real-time image, in addition to ensuring the high contrast of single frame image, the real-time performance of the processing algorithm and the coherence of the enhancement effect between image sequences should be considered.Gray-scale equispacing density equalization algorithm can effectively enhance image contrast by removing redundant gray level and rearranging effective gray level equispacing. In this paper, based on the gray-scale equispacing density equalization enhancement algorithm, the effective gray level effective threshold selection, excessive enhancement and other problems are improved accordingly, in order to meet the real-time enhancement processing requirements of continuous image sequences. Experimental results show that the improved algorithm can effectively avoid the influence of local changes on the overall enhancement effect. For 1 920×1 080 resolution images, the processing time of single frame is about 32 ms. The improved algorithm has good enhancement effect on continuous image sequence, and can better meet the processing requirements of real-time image enhancement for coherence, real-time performance and robustness.