Abstract
A property of sparse representations in relation to their capacity for information storage is discussed. It is shown that this feature can be used for an application that we term Encrypted Image Folding. The proposed procedure is realizable through any suitable transformation. In particular, in this paper we illustrate the approach by recourse to the Discrete Cosine Transform and a combination of redundant Cosine and Dirac dictionaries. The main advantage of the proposed technique is that both storage and encryption can be achieved simultaneously using simple processing steps.
Original language | English |
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Article number | 5688290 |
Pages (from-to) | 189-192 |
Number of pages | 4 |
Journal | IEEE Signal Processing Letters |
Volume | 18 |
Issue number | 3 |
DOIs | |
Publication status | Published - 17 Jan 2011 |
Bibliographical note
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Keywords
- cryptography
- dictionaries
- discrete cosine transforms
- phase shift keying
- recurrent neural networks
- encrypted image folding
- mixed dictionaries
- sparse representations