Secure transmission of Hyperspectral Images

Oruganti Sai Srujana, Nikhil C. Mhala, A. R. Pais
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引用次数: 3

Abstract

Hyperspectral Images (HSIs) are images that are captured across the electromagnetic spectrum. Hyperspectral images are represented using a three-dimensional (x,y,λ) data cube where dimension x and y represent the spatial dimension of a scene, and λ represents the spectral dimension of a scene. These images contain abundant information that has to be transmitted securely among the users for further processing. Visual Secret Sharing (VSS) is a modern cryptographic method used to send the visual data securely among n users. VSS scheme generates multiple shares of the secret image, and to recover secret image, these all shares need to be stacked together.In this paper, we propose a scheme for the secure transmission of hyperspectral images using VSS. We also introduce a band selection technique as a pre-processing step to reduce the redundancy and size of the image cube. The proposed scheme uses the super-resolution concept to increase the contrast of the resultant image, obtained from the VSS. We have performed the visual quality assessment of the reconstructed image using quantitative measurement parameters and we have compared the results with the existing VSS based Randomised VSS (RVSS) scheme. The experimental results showed that our proposed scheme achieves better reconstruction quality than the RVSS scheme and reconstructs HSI with a similarity of almost 76-95%.
高光谱图像的安全传输
高光谱图像(hsi)是通过电磁频谱捕获的图像。高光谱图像使用三维(x,y,λ)数据立方体表示,其中维度x和y表示场景的空间维度,λ表示场景的光谱维度。这些图像包含丰富的信息,必须在用户之间安全地传输以进行进一步处理。视觉秘密共享(VSS)是一种用于在n个用户之间安全地发送视觉数据的现代加密方法。VSS方案生成多个秘密映像共享,为了恢复秘密映像,需要将这些共享叠加在一起。本文提出了一种利用VSS实现高光谱图像安全传输的方案。我们还介绍了一种带选择技术作为预处理步骤,以减少冗余和图像立方体的大小。该方案利用超分辨率的概念来提高从VSS获得的图像的对比度。我们使用定量测量参数对重建图像进行了视觉质量评估,并将结果与现有基于VSS的随机VSS (RVSS)方案进行了比较。实验结果表明,该方案的重构质量优于RVSS方案,重构的HSI相似度接近76-95%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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