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AbstractThe authors propose a compression algorithm for an array of multiview images. First, we apply a segmentation algorithm to partition the data into coherent layers and significantly reduce the number of images required for artifact-free rendering. Then, we exploit the coherence in each layer by applying a 1D disparity compensated wavelet transform across the views followed by a 2D SA-DWT on each of the spatial subbands. Finally, the data is entropy coded using a modified version of EBCOT. Experimental results show that our coder outperforms state-of-the-art H.264/AVC at low bit-rates and intra-image JPEG-2000 over the complete range of bit-rates. Furthermore, unlike other multi-view image compression techniques, our implementation does not rely on estimating a 3D geometric model of the scene.
CitationGelman, A., Dragotti, P.L. and Velisavljevic, V. (2009) 'Layer-based multiview image compression', Proceedings of the 5th International ICST Mobile Multimedia Communications Conference (MobiMedia), London, UK, 7-9 September. London: ICST, article 18.
TypeConference papers, meetings and proceedings