Very low bit-rate coding algorithm for stereo video with spatiotemporal HVS model and binary correlation disparity estimator

A strategy for efficiently coding stereo video sequences is investigated. To fully utilize the suppression and the contrast sensitivity property of the human visual system, a novel coding scheme with two special mechanisms, the spatiotemporal HVS model and the binary correlation disparity estimator, is proposed to efficiently reduce the video signal redundancy and the computational complexity, while maintaining a high subjective image quality. Compared with existing stereo video coding systems, the proposed coding scheme supports a lower transmission bit rate and has less computational complexity. The simulation results also show that the subjective image quality of the reconstructed full color stereo sequences at 0.25-0.4 bits per pixel (bpp) is satisfactory.