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Computational ghost imaging encryption with a pattern compression from 3D to 0D
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DOI：10.1364/OE.455975.png)
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Abstract
En 中文
The principle of computational ghost imaging (GI) offers a potential application in optical encryption. Nevertheless, large numbers of keys composed of random or specific patterns set an obstacle to its application. Here, we propose a series of pattern compression methods based on computational GI, in which thousands of patterns are replaced by a single standard image (i.e., two-dimensional data), a sequence of numbers (i.e., one-dimensional data) or the fractional part of an irrational number (i.e., zero-dimensional data). Different pattern compression methods are tested in both simulations and experiments, and their error tolerances in encryption are further discussed. Our proposed methods can greatly reduce the pattern amount and enhance encryption security, which pushes forward the application of computational GI, especially in optical encryption. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
Journal
IF:
3.3
Papers:
6.1W
Citations:
14.3W