Compression of digital holograms of three-dimensional objects

ISBN-13: 9783846517673 / Angielski / Miękka / 252 str.

Alison Shortt

Opis

The white-noise 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 non-iterative 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 (k-means, Kohonen competitive neural network, Kohonen self-organising map, and annealed Hopfield neural network) successfully exploit correlations between real and imaginary components of the digital holograms. Non-iterative 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.

O autorze

Alison Shortt was born in Dublin, Ireland. She studied at NUI, Maynooth where she successfully completed a 1st class single honours BSc and PhD degree in Computer Science. On Completion of her PhD, she moved to the US to carry out post doctoral research. After 3 years in the US, she returned to Ireland, where she happily lives close to family.