Image Encryption Technique Combining Compressive Sensing with Double Random-Phase Encoding

Joint Authors

Huang, Huiqing
Yang, S. Z.

Source

Mathematical Problems in Engineering

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-04-03

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

A new image compression-encryption method based on compressive sensing and double random-phase encoding is proposed, which can complete image compression and encryption simultaneously.

We utilize the hyperchaotic system to generate a measurement matrix and two random-phase masks first.

Then the original image is measured by measurement matrix to accomplish encryption and compression at the same time, next the compressed image is reencrypted by the double random-phase encoding technique with the two random-phase masks, and lastly the resulting image is confused and diffused by using hyperchaotic system simultaneously.

Some numerical simulations verify the validity and the reliability of the proposed algorithm.

American Psychological Association (APA)

Huang, Huiqing& Yang, S. Z.. 2018. Image Encryption Technique Combining Compressive Sensing with Double Random-Phase Encoding. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208541

Modern Language Association (MLA)

Huang, Huiqing& Yang, S. Z.. Image Encryption Technique Combining Compressive Sensing with Double Random-Phase Encoding. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1208541

American Medical Association (AMA)

Huang, Huiqing& Yang, S. Z.. Image Encryption Technique Combining Compressive Sensing with Double Random-Phase Encoding. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208541

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1208541