A new scalable image sharing scheme based on compressed sensing

Mehdi Safarpour, M. Charmi, S. Toofan, Hamed Nourbakhsh
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引用次数: 1

Abstract

This paper presents a novel image sharing method. The proposed method is based on emerging theory of compressed sensing. We have exploited intrinsic features of compressed sensing theory to come up with a new image sharing scheme which provides scalable recovery and generates smaller shadow images (share images).The other potential application of our method is in distributed data storage systems, where instead of security, robust data recovery is needed. Our method does not follow the common practice of secret sharing schemes and is merely based on recovery procedure of compressed sensing theory but it produces comparable results in terms of scalability, shadow sizes and quality. Experimental results show applicability of our method through comparison with similar works and demonstrate this method has smaller shadow sizes without compromising much on the quality of recovered image.
一种新的基于压缩感知的可扩展图像共享方案
提出了一种新的图像共享方法。该方法基于新兴的压缩感知理论。我们利用压缩感知理论的固有特征,提出了一种新的图像共享方案,该方案提供可扩展的恢复并生成更小的阴影图像(共享图像)。我们的方法的另一个潜在应用是分布式数据存储系统,其中需要的不是安全性,而是健壮的数据恢复。我们的方法没有遵循秘密共享方案的常见做法,只是基于压缩感知理论的恢复过程,但在可扩展性、阴影大小和质量方面产生了相当的结果。实验结果表明,该方法具有较好的适用性,在不影响恢复图像质量的前提下,具有较小的阴影尺寸。
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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