Secret image sharing (SIS) is a promising image protection technology boasting high security and loss tolerance. However, shadow images generated by SIS are susceptible to noise contamination during real-world transmission, storage, and processing, resulting in data loss when recovering the secret image. Therefore, improving the robustness of SIS systems against noise is crucial. Unfortunately, there is currently limited research on this topic, and existing schemes require improvement in the anti-noise performance. Under the premise of no pixel expansion, this paper proposes a robust SIS scheme that can effectively resist many types of shadow image noise, single or compound. We have achieved the organic fusion of SIS and Reed–Solomon coding technology by elaborately designing many critical factors, such as the shortened Reed–Solomon codes, the construction and utilization method of pixel-blocks, and other prerequisites. The proposed scheme is particularly effective in resisting burst noise, such as salt-and-pepper noise, with lossless recovery possible when the noise density and high-quality recovery when . Compared with existing schemes, it has many advantages, such as stronger anti-noise capability, various applicable noise types, stable anti-noise performance, and no pixel expansion. Analyses and illustrations are conducted to validate the proposed scheme.

中文翻译：

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具有改进的抗噪声能力的鲁棒秘密图像共享方案

秘密图像共享（SIS）是一种很有前景的图像保护技术，具有较高的安全性和丢失容忍度。然而，SIS生成的阴影图像在现实世界的传输、存储和处理过程中容易受到噪声污染，导致恢复秘密图像时数据丢失。因此，提高 SIS 系统抗噪声的鲁棒性至关重要。不幸的是，目前对此主题的研究有限，并且现有方案需要改进抗噪声性能。在不进行像素扩展的前提下，本文提出了一种鲁棒的SIS方案，可以有效抵抗多种类型的单一或复合的阴影图像噪声。我们通过精心设计缩短的Reed-Solomon码、像素块的构造和使用方法等先决条件，实现了SIS与Reed-Solomon编码技术的有机融合。所提出的方案在抵抗突发噪声（例如椒盐噪声）方面特别有效，当噪声密度为 时可以实现无损恢复并实现高质量恢复。与现有方案相比，具有抗噪声能力更强、适用噪声类型多样、抗噪声性能稳定、无像素膨胀等优点。进行分析和说明以验证所提出的方案。