Paper
10 September 2005 Compression of digital holographic data using its electromagnetic field properties
Author Affiliations +
Abstract
In this paper we present the first steps to an algorithm for effective compression of digital holograms. This algorithm is based on the properties of the electromagnetic field that generates the holograms. The investigation of the underlying physical behavior allows us a better reduction of the number of bits needed to compress the data. We show that the quantization in the frequency domain as contained in the extended JPEG compression is suitable for high quality compression of holograms. We present the application of this approach to holograms with low space-bandwidth products and perform a generalization to typical holograms with high space-bandwidth products. Our tests using simulated and real world holograms from different origins show approximately the same performance on the same levels of compression. This performance is better concerning the quality of the data compared to the one of the standard JPEG implementation and can be improved concerning the file size. While the visual impression of the intensity reconstruction is good even for 2bit compression, the reconstruction of the phase for higher compression ratios shows remarkable errors. In the future we want to better adopt our approach to the extended JPEG standard based in the way that we use 8x8 clusters instead of the whole image for quantization. This gives hope to further increase the reconstruction quality and the compression ratio in the future.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Kayser, Thomas Kreis, and Werner Juptner "Compression of digital holographic data using its electromagnetic field properties", Proc. SPIE 5908, Optical Information Systems III, 59080C (10 September 2005); https://doi.org/10.1117/12.616723
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Holograms

Digital holography

Electromagnetism

Quantization

Holography

Speckle

Image compression

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