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.
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- discrete cosine transforms
- phase shift keying
- recurrent neural networks
- encrypted image folding
- mixed dictionaries
- sparse representations
Bowley, J., & Rebollo-neira, L. (2011). Sparsity and “Something Else”: An Approach to Encrypted Image Folding. IEEE Signal Processing Letters, 18(3), 189-192. . https://doi.org/10.1109/LSP.2011.2106496, https://doi.org/10.1109/LSP.2011.2106496