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.
KEYWORDS: 3D image processing, Image compression, Silicon, Image processing, Computer programming, Integral imaging, Video compression, 3D displays, Computing systems, 3D image reconstruction
In this paper, we proposed a highly enhanced compression scheme of the integral imaging (InIm) applying to the
residual image (RI) array transformed from Sub-Image Array (SIA). In the pickup process, the object through the virtual
pinhole array is recorded in a computer as Elemental Image Array (EIA). Then, SIA is generated from EIA. It provides
enhanced compression efficiency by improving the similarity between sub-images (SIs). In the proposed scheme, the
reference image is the first one of rearranged SIs based on spiral scanning topology and the RIs are generated from
difference between reference image and SIs. Finally, we model the reference image and RIs in InIm as consecutive
frames in a moving picture. Therefore, the video compression scheme such as MPEG-4 can be applied to data reduction
of the consecutive frames. Experimental results are presented to illustrate the image quality of MPEG-4 and JPEG with
the same compression rate. Some experiment is carried out and compression efficiency of the proposed scheme has been
improved 296.02% in average according to the each quality factor.
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