Double Image Encryption Scheme Based on Compressive Sensing and Double Random Phase Encoding

Rui Zhang and Di Xiao
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Rui Zhang: College of Computer Science, Chongqing University, Chongqing 400044, China
Di Xiao: College of Computer Science, Chongqing University, Chongqing 400044, China

Mathematics, 2022, vol. 10, issue 8, 1-23

Abstract: In order to overcome the shortcomings of the standard compressive sensing (CS) encryption framework, a novel fusion application scheme of CS and optical transformation technology is proposed. The proposed scheme, making full use of the feature of CS to achieve compression and encryption simultaneously, compresses and encrypts two images into one image, which not only reduces storage space and transmission bandwidth, but also improves the security performance of encryption. In the proposed scheme, the two original images are first sampled with CS, and then double random phase coding is performed to obtain two small-sized images. Meanwhile, the two original images are directly encrypted with double random phase coding to obtain the authentication information. Next, we combine two small-sized images and authentication information into one image, and finally perform double random phase coding again to obtain the final encrypted image. It should be emphasized that the proposed scheme has the function of image authentication. Experiment results validate the effectiveness and advancement of the proposed fusion application scheme.

Keywords: compressive sensing; image cipher; double random phase encoding (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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