A perceptual based dead-zone adjustment algorithm for H.264 [video coding]

A new adaptive dead-zone adjustment algorithm has been developed, based on the human visual model, for H.264 video coding. In this paper, the proposed scheme utilizes rate-distortion (RD) optimization technology to adaptively adjust the dead-zone size. Also, incorporation of the human visual system model into the RD cost computation improves the performance. Compared with the H.264 reference coder, the proposed algorithm can efficiently improve the subjective viewing quality and reduce the bit rate by 10% on average.