Title
Compression of digital holograms of threedimensional objects: using nonuniform iterative and noniterative techniques,Used
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The whitenoise appearance of digital holograms has led researchers to exclusively employ uniform quantisation as a quantisation compression technique. During my research, I designed novel, and adapted conventional, iterative and noniterative lossy nonuniform quantisation techniques, and completed the compression process by subsequently applying lossless coding. To quantify performance I combined an RMS metric computed in reconstruction space and compression ratio computed in digital hologram space. I show how iterative techniques (kmeans, Kohonen competitive neural network, Kohonen selforganising map, and annealed Hopfield neural network) successfully exploit correlations between real and imaginary components of the digital holograms. Noniterative techniques (companding, histogram quantisation, optimal quantisation, and wavelets) combine a uniform quantisation grid with nonuniform transformations of the grid and hologram data to trade reconstruction quality for speed. Finally, recognising the importance of security in data transmission, the resilience of encrypted digital holograms to quantisation is evaluated.
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