Shortt, Alison and Naughton, Thomas J. and Javidi, Bahram (2006) Compression of Optically Encrypted Digital Holograms Using Artificial Neural Networks. Journal of Display Technology, 2 (4). pp. 401-410. ISSN 1551-319X

Preview

Download (3MB) | Preview

Abstract

Compression and encryption/decryption are necessary for secure and efficient storage and transmission of image data. Optical encryption, as a promising application of display devices, takes advantage of both the massive parallelism inherent in optical systems and the flexibility offered by digital electronics. We encrypt real-world three-dimensional (3D) objects, captured using phase-shift interferometry, by combining a phase mask and Fresnel propagation. Compression is achieved by nonuniformly quantizing the complex-valued encrypted digital holograms using an artificial neural network. Decryption is performed by displaying the encrypted hologram and phase mask in an identical configuration. We achieved good quality decryption and reconstruction of 3D objects with as few as 2 bits in each real and imaginary value of the encrypted data

Item Type:	Article
Keywords:	Artificial neural network (ANN); digital holography; image compression; optical encryption; three-dimensional (3D) image processing;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8627
Identification Number:	https://doi.org/10.1109/JDT.2006.884693
Depositing User:	Thomas Naughton
Date Deposited:	17 Aug 2017 15:35
Journal or Publication Title:	Journal of Display Technology
Publisher:	IEEE
Refereed:	Yes
URI:	http://ieeexplore.ieee.org/
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads