Subjective evaluation of 3D video enhancement algorithm

In this contribution the subjective evaluation of a 3D enhancement algorithm is presented. In the proposed scheme, perceptually significant features are enhanced or attenuated according to their saliency and to the masking effects induced by textured background. In particular, for each frame we consider the high frequency components, i.e., the edges, as relevant features in the edge complex wavelet domain computed by the first order dyadic Gauss-Laguerre Circular Harmonic Wavelet decomposition. The saliency is assessed by evaluating both disparity map and motion vectors extracted from the 3D videos. The effectiveness of the proposed approach has been verified by means of subjective tests.

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