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Kang et al. [9] designed an adaptive geometry-based intra-prediction scheme for depth video coding.
In this paper, we introduce a joint processing and fast coding algorithm for depth video.
Depth video coding in 3D-HEVC inherits the most effective technologies in the color video coding process and adds some tools that are designed for depth video.
In the 3D extension of high-efficiency video coding (3D-HEVC), the main framework for depth video is similar to that of color video.
Zhao et al. [19] proposed a depth no-synthesis-error (D-NOSE) model and presented a smoothing scheme for depth video coding.
Hu et al. [17] proposed a depth video restoration algorithm which is effective for depth video corrupted by additive white Gaussian noise.
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As the proposed algorithm is specially designed for depth videos that are estimated using stereo matching, the computer-generated sequences, "Undo_Dancer," "GT_Fly," and "Shark" were not tested.
Table 4 lists the bitrate variation of depth video for Mora's scheme and the proposed algorithm which negative sign means bitrate saving.
In our previous works, the correlation of depth video is enhanced for high compression performance [22, 23].
By comparing the encoding results in the enlarged area, we conclude that the CU splitting and mode selection are more complicated for original depth video than they are for smoothed depth video.
First, it is easy to achieve a high compression ratio for smooth depth video.
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