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We propose a novel compression method for multiview images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers characterized by a constant depth value. For efficient compression, the partitioned data is de-correlated using the separable three-dimensional wavelet transform across the viewpoint and spatial dimensions. The transform is modified to efficiently deal with occlusions and disparity variations for different depths. The generateddoi:10.1109/icip.2010.5651160 dblp:conf/icip/GelmanDV10 fatcat:khnt7dyg3bfmxal4c3z62x5f3u