Highly Efficient Multiview Depth Coding Based on Histogram Projection and Allowable Depth Distortion




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Peer reviewed



Mismatches between the precisions of representing the disparity, depth value and rendering position in 3D video systems cause redundancies in depth map representations. In this paper, we propose a highly efficient multiview depth coding scheme based on Depth Histogram Projection (DHP) and Allowable Depth Distortion (ADD) in view synthesis. Firstly, DHP exploits the sparse representation of depth maps generated from stereo matching to reduce the residual error from INTER and INTRA predictions in depth coding. We provide a mathematical foundation for DHP-based lossless depth coding by theoretically analyzing its rate-distortion cost. Then, due to the mismatch between depth value and rendering position, there is a many-to-one mapping relationship between them in view synthesis, which induces the ADD model. Based on this ADD model and DHP, depth coding with lossless view synthesis quality is proposed to further improve the compression performance of depth coding while maintaining the same synthesized video quality. Experimental results reveal that the proposed DHP based depth coding can achieve an average bit rate saving of 20.66% to 19.52% for lossless coding on Multiview High Efficiency Video Coding (MV-HEVC) with different groups of pictures. In addition, our depth coding based on DHP and ADD achieves an average depth bit rate reduction of 46.69%, 34.12% and 28.68% for lossless view synthesis quality when the rendering precision varies from integer, half to quarter pixels, respectively. We obtain similar gains for lossless depth coding on the 3D-HEVC, HEVC Intra coding and JPEG2000 platforms.


The file attached to this record is the author's final peer reviewed version.


Lossless coding, Depth coding, HEVC, Depth histogram projection, Allowable depth distortion, View synthesis


Zhang, Y., Zhu, L., Hamzaoui, R., Kwong, S., Ho, Y-S. (2021) Highly efficient multiview depth coding based on histogram projection and allowable depth distortion. IEEE Transactions on Image Processing, 30, pp. 402-417


Research Institute

Institute of Engineering Sciences (IES)