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

Autor: Huang, Huiqing, Yang, Shouzhi
Předmět:
Zdroj: Mathematical Problems in Engineering; 4/3/2018, p1-10, 10p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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