Computational ghost image encryption method based on sparse speckles

Optical encryption based on ghost imaging has the advantages of high-speed parallel processing and multi-dimensional information. However, in practical application, a large number of speckle patterns are required to achieve the encryption, resulting in a significant increase in transmission costs and low encryption efficiency. In this paper, a compressive sensing-based ghost imaging encryption method using sparse speckles is proposed. The sparse speckle used in this method has the characteristics of easy compression and greatly reducing the amount of encryption keys. According to calculation, the memory overhead of keys using sparse speckles can reduce to 2.44% of that using random speckles. And the decryption effect and anti-noise performance of this method are also verified better than that using random speckles by simulation and experiment results.