Paper
25 March 1999 Bit allocation in the transform coding of hologram patterns
Yoshihiro Ishida, Toshiaki Fujii, Tadahiko Kimoto, Masayuki Tanimoto
Author Affiliations +
Proceedings Volume 3637, Practical Holography XIII; (1999) https://doi.org/10.1117/12.343771
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
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); https://doi.org/10.1117/12.343771
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Holograms

Image compression

Data compression

Acquisition tracking and pointing

Holography

Signal to noise ratio

Tin

RELATED CONTENT

Hologram compression in quantitative phase imaging
Proceedings of SPIE (February 14 2020)
Preprocessing and compression of digital holographic images
Proceedings of SPIE (September 16 2005)
Digital holographic data reconstruction with data compression
Proceedings of SPIE (November 13 2001)
Holotag: a novel holographic label
Proceedings of SPIE (January 01 1991)

Back to Top