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25 March 1999 Bit allocation in the transform coding of hologram patterns
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We examined the data compression by transform coding for hologram patterns generated on a computer, to realize effective compression of hologram patterns with extremely huge information. We can't apply conventional 2-D image compression techniques directly to hologram patterns since the statistical properties of hologram patterns are quite different from those of 2-D images. Furthermore, it is not a hologram pattern but an image reproduced from the hologram pattern to be essential in the holography. We have to compress hologram patterns by considering the reproduced image. We found that hologram patterns contain a large amount of unnecessary component to reproduce the image. This should be removed for effective coding. The unnecessary component can be distinguished clearly from the necessary component in the frequency domain. We successfully removed it by bandpass filtering hologram patterns. We apply Karhunen-Loeve Transform (KLT) to the hologram patterns after this preprocessing. In the case of high compression, it is better to allocate more bits to the lower order KLT coefficients than the bits determined by the conventional power-based allocation method. Then, effective coding of hologram patterns is realized and better images are reproduced.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yoshihiro Ishida, Toshiaki Fujii, Tadahiko Kimoto, and Masayuki Tanimoto "Bit allocation in the transform coding of hologram patterns", Proc. SPIE 3637, Practical Holography XIII, (25 March 1999);


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