Cropping Resilient Secret Image Sharing Scheme with Lossless Recovery
Shengyang Luo, Yaqi Liu, Xuehu Yan, Chao Huang · 2023
In recent years, secret image sharing (SIS) has attracted extensive attention in the academic community due to its advantages of loss tolerance and low computational complexity. To enhance the robustness of SIS system, it is vital to study SIS technology that can resist shadow image cropping. Unfortunately, the current research on this topic is limited. In view of this, this paper proposes a robust SIS scheme for color images, which can resist large-scale shadow image cropping. The proposed scheme generates shadow images of the same size as the original secret image by integrating SIS, error correction coding, and pixel re-arrangement techniques. Even in the extreme case that all shadow images are cropped by 25%, it can still achieve lossless recovery regardless of whether the cropping positions of each shadow image intersect or overlap. In addition, it can resist shadow image noise, such as salt-and-pepper noise. Experimental results demonstrate that the proposed scheme has significant advantages over existing schemes in robustness and overall performance and is expected to promote the practical application of SIS.