Damien P. Kelly
Technische Universität Ilmenau
98 Papers
507 Citations
Damien P. Kelly is an academic researcher from Technische Universität Ilmenau. The author has contributed to research in topics: Speckle pattern & Digital holography. The author has an hindex of 20, co-authored 98 publications. Previous affiliations of Damien P. Kelly include National University of Ireland & Maynooth University.
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Papers
Xolography for linear volumetric 3D printing
Martin Regehly,Yves Garmshausen,Marcus Reuter,Niklas Felix König,Eric Israel,Damien P. Kelly,Chun-Yu Chou,Klaas Koch,Baraa Asfari,Stefan Hecht,Stefan Hecht,Stefan Hecht +11 more
TL;DR: Xolography as discussed by the authors is a dual color technique using photoswitchable photoinitiators to induce local polymerization inside a confined monomer volume upon linear excitation by intersecting light beams of different wavelengths.
343
Numerical calculation of the Fresnel transform.
TL;DR: General and simple sampling rules of thumb are derived that allow the user to calculate the distribution for any propagation distance and it is shown how these rules can be extended to fast-Fourier-transform-based algorithms to increase calculation efficiency.
71
A Review of Hologram Storage and Self-Written Waveguides Formation in Photopolymer Media.
TL;DR: The evolution of the understanding of what takes place inside these materials and what happens during photopolymerization process is discussed, with the objective of further improving the performance of such materials.
58
Spread-space spread-spectrum technique for secure multiplexing.
Bryan M. Hennelly,Thomas J. Naughton,John McDonald,John T. Sheridan,G. Unnikrishnan,Damien P. Kelly,Bahram Javidi +6 more
- 01 May 2007
TL;DR: A novel technique for multiplexing complex images is proposed in which each image may be demultiplexed only if a set of random encryption keys is known, using the ability of the double random phase encoding method.
Quantifying the 2.5D imaging performance of digital holographic systems
TL;DR: In this paper, the linear canonical transform is used to select an optical system to maximize the quality of the reconstructed image using a priori knowledge of the camera and object, and the results constitute a point spread function analysis.