Optical image compression and encryption methods

By Ayman Alfalou, Christian Brosseau. 2009

488 citations recorded by the source corpus.

Over the years extensive studies have been carried out to apply coherent optics methods in real-time communications and image transmission. This is especially true when a large amount of information needs to be processed, e.g., in high-resolution imaging. The recent progress in data-processing networks and communication systems has considerably increased the capacity of information exchange. However, the transmitted data can be intercepted by nonauthorized people. This explains why considerable effort is being devoted at the current time to data encryption and secure transmission. In addition, only a small part of the overall information is really useful for many applications. Consequently, applications can tolerate information compression that requires important processing when the transmission bit rate is taken into account. To enable efficient and secure information exchange, it is often necessary to reduce the amount of transmitted information. In this context, much work has been undertaken using the principle of coherent optics filtering for selecting relevant information and encrypting it. Compression and encryption operations are often carried out separately, although they are strongly related and can influence each other. Optical processing methodologies, based on filtering, are described that are applicable to transmission and/or data storage. Finally, the advantages and limitations of a set of optical compression and encryption methods are discussed.

Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/2c72b73946c93f39c7841534956261b0f57305c8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

  1. Elisabet Pérez-Cabre
  2. María Sagrario Millán
  3. Ayman Alfalou
  4. Christian Brosseau
  5. Takanori Nomura
  6. Bahram Javidi
  7. Adrian Stern
  8. Allard P. Mosk

In Computer Vision and Pattern Recognition

  1. Ayman Alfalou
  2. Christian Brosseau
  3. Elisabet Pérez-Cabre
  4. María Sagrario Millán
  5. Takanori Nomura
  6. Bahram Javidi
  7. John T. Sheridan
  8. Changliang Guo

Citations in the corpus