The importance of video sequence varied with the regions, and human visual attention too varied with the importance of region of video sequence, so the subjective quality requirement of human visual attention high region is not the same as human visual attention low region. The paper proposes a RDO Intra Refreshment algorithm based on human visual attention, and it used the end to end overall distortion theory to analyze human visual attention high region and human visual attention low region, and can give more IR chances to the MB in human visual attention high region. As the bit rate was constrained, the bit rate of human visual attention high region and human visual attention low region, and it must be reallocated. At last, the algorithm was implemented in reference software JM12.2. Simulation results showed that, comparing with traditional algorithm, the proposed could obtain better subjective quality of reconstructed video in visual attention region. The importance of video sequence varied with the regions, and human visual attention too varied with the importance of region of video sequence, so the subjective quality requirement of human visual attention high region is not the same as human visual attention low region. a RDO Intra Refreshment algorithm based on human visual attention, and it used the end to end overall distortion theory to analyze human visual attention high region and human visual attention low region, and can give more IR chances to the MB in human visual attention high region As the bit rate was constrained, the bit rate of human visual attention high region and human visual attention low region, and it must be reallocated. At last, the algorithm was implemented in reference software JM12.2. Simulation results showed that comparing with traditional algorithm, the proposed could obtain better subjective quality of reconstructed video in visual attention region.