A new multi-user oriented dynamic range scalable encoding method for high dynam ic range (HDR) video is proposed,which is combined with the visual masking characteristic to suppress the encoding redundancy noise and greatly improve the efficiency of scalable encoding for dynamic range.Firstly, considering the human visual perception characteristics on HDR video,a dynamic range scalable model (DRSM) is designed to decompose HDR video with different dynamic ranges into a standard dy namic range (SDR) video and the corresponding multiple residual signal frames (RSFs) sequences.Then,combin ed with the high brightness masking effect and the perception characteristics of eyes,the RSFs are quantized and fi ltered to filter out the isolated data points in the residuals,and the overall difference information between adjac ent dynamic range levels of the RSFs is preserved to increases RSFs′ coding efficiency.Finally,SDR video and HDR video at each dynamic range are reconstructed at the decoder to accommodate multi-user MDR display devices. The results show that the proposed method can reduce the encoding bitrates and keep the subjective perc eptual quality of reconstructed HDR videos at the same time.When encoding in the intra-coding mode,the Bjnteg aard Delta rate (BD-rate) is saved by 32.03% and 31.28% in average at the same HDR-VDP-2.2and peak signal-to-noise ratio (PSNR) scores,and it greatly improve the rate distort ion performance.