Compression scheme by use of motion-compensated residual image transformed from elemental image array in three-dimensional integral imaging

In this paper, we proposed a highly enhanced compression scheme of Integral Imaging (InIm) by use of sub-images (SIs) removing the Motion Vector (MV) of residual image array transformed from Sub-Image Array (SIA). In the pickup process, SIA is generated from EIA after the object through the virtual pinhole array is recorded as Elemental Image Array (EIA). It provides enhanced compression efficiency by improving the similarity among SIs. In the proposed method, a segmented area, which is a macroblock, in the reference SI is matched on current SIs applying to MSE. MVs occurred among SIs might result in an additional increase for data compression. Accordingly, the computed motion estimation from the block-matching is saved as MV and all objects in each current SI are shifted to the object position of the reference SI to compensate their MV based on the motion estimation. We can enhance the similarity of SIs removing MV, so that an improvement of compression efficiency of the SIA could be obtained. In addition, the video compression scheme such as MPEG-4 can be applied to data reduction of the consecutive frames. The proposed algorithm outperforms the baseline JPEG and the conventional EIA compression scheme applied to InIm and is compared with simulations produced using these schemes.