Abstract
This study proposes an adaptive error concealment selection
process in order to improve the quality of reconstructed images which have
low computation complexity for multi-view video coding. In this study, the
proposed algorithm uses the motion vector variances and texture histogram
bins in the blocks neighboring the damaged block in order to define two correlations;
the degree of motion and the degree of texture similarity. To increase the
accuracy of the suitable EC for the damaged macro-block, these two correlations
are used to select a suitable error concealment method for reconstructing
the damaged macro-block through fuzzy reasoning. The motion degree indicates
the motion complexity for the damaged macro-block, and the texture similarity
degree indicates the spatial continuity between the damaged macro-block and
its neighboring block. The proposed adaptive error concealment is selected
to reduce concealing time on homogenous damaged blocks and to improve the
reconstructed image quality on non-homogenous damaged blocks. The experiment
results show that the proposed algorithm can reduce the concealing time by
at least 1.16 s and can improve the peak signal-to-noise (PSNR) by 0.13 dB–2.44
dB and 0.11 dB–3.52 dB in the main views and auxiliary views, respectively.
This proposed algorithm is suitable for the multi-view video transmission
on the consumer electronic fields such as 3D mobile devices, 3D television.
© 2014 IEEE
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