Abstract
Computational ghost imaging is a good optical encryption method, but it can have difficulty imaging a large-sized object and can be time consuming. To solve the problem, we propose a novel optical encryption method based on block adaptive compressive sensing with computational ghost imaging. In this model, we divide the large-sized image into several blocks. Then, each block is considered as a single image while performing the ghost imaging. Each block has its own sampling ratio according to the human visual system. In the recovery process, we use a compressive sensing algorithm to reconstruct the image. Compared with computational ghost imaging, the quality of the recovery image is better; thus, a large-sized image can also be recovered with high quality with this method. In addition, the quantity of transmitted information is reduced compared with block computational ghost imaging, resulting in less space, high-efficiency data storage, or transmission time. With its advantages of high-quality reconstructed information, high security, and fast transmission, this technique can be immediately applied to imaging applications and data storage.
© 2017 Optical Society of America
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