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16 September 2005 Preprocessing and compression of digital holographic images
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Digital hologram compression has recently received increasing attention due to easy acquisition and new applications in three-dimensional information processing. Standard compression algorithms perform poorly on complex-valued holographic data. This paper studies quantization techniques for lossy compression of digital holographic images, where three commonly used quantizers are compared. Our observations show that the real and imagery components of holograms and their corresponding Fourier transform coefficients exhibit a Laplacian and Gaussian distribution, respectively. It is therefore possible to design an optimal quantizer for holographic data compression. To further increase the compression ratio, preprocessing techniques to extract the region of interest are presented. These include Fourier plane filtering and statistical snake image segmentation.
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Shuqun Zhang and Mo Chen "Preprocessing and compression of digital holographic images", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590925 (16 September 2005);

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