The existing depthvideocoding algorithms are generally based on in-loop depth filters, whose performance are unstable and easily affected by the outliers. In this paper, we design a jointweightedsparse representat...
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The existing depthvideocoding algorithms are generally based on in-loop depth filters, whose performance are unstable and easily affected by the outliers. In this paper, we design a jointweightedsparserepresentation-based median filter as the in-loop filter in depthvideo codec. It constructs depth candidate set which contains relevant neighboring depth pixel based on depth and intensity similarity weightedsparsecoding, then the median operation is performed on this set to select a neighboring depth pixel as the result of the filtering. The experimental results indicate that the depth bitrate is reduced by about 9% compared with anchor method. It is confirmed that the proposed method is more effective in reducing the required depth bitrates for a given synthesis quality level.
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