Scholarlink

<p>The widespread application of batch color images in real-world scenarios such as multi-camera surveillance systems, cloud-based photo albums, and social media platforms has made their secure transmission a pressing concern. Existing encryption schemes often face practicality issues by mandating uniform image sizes and suffer from efficiency bottlenecks due to serial processing, especially with large-volume data. In this paper, we fully utilized the data structure of color images and proposed a parallel encryption scheme for protecting batch color images. Here, the color channels from different images are randomly grouped and encrypted in parallel. Furthermore, in each group, a simultaneous cross channel encryption strategy is leveraged to spread the encryption influence to other channels, which further improves the efficiency. Extensive experimental results demonstrate that our scheme achieves a significant speedup, processing encryption tasks up to 36.3% faster than state-of-the-art serial methods, while maintaining competitive security metrics like an information entropy of 7.999, a correlation coefficient close to 0 and NPCR/UACI close to 99.609%/33.464%. These findings confirm that the proposed scheme offers a superior solution for real-world applications, successfully balancing high efficiency with robust security for batch color image protection.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Protection of batch color images using a novel parallel cross-plane encryption scheme

  • 期刊论文

  • 发表日期：

    2026年2月12日

查看全文
  • Wei Song,
  • Buyu Liu,
  • Chong Fu,
  • Wei Yang,
  • Junxin Chen,
  • Yanfeng Zhang

摘要

The widespread application of batch color images in real-world scenarios such as multi-camera surveillance systems, cloud-based photo albums, and social media platforms has made their secure transmission a pressing concern. Existing encryption schemes often face practicality issues by mandating uniform image sizes and suffer from efficiency bottlenecks due to serial processing, especially with large-volume data. In this paper, we fully utilized the data structure of color images and proposed a parallel encryption scheme for protecting batch color images. Here, the color channels from different images are randomly grouped and encrypted in parallel. Furthermore, in each group, a simultaneous cross channel encryption strategy is leveraged to spread the encryption influence to other channels, which further improves the efficiency. Extensive experimental results demonstrate that our scheme achieves a significant speedup, processing encryption tasks up to 36.3% faster than state-of-the-art serial methods, while maintaining competitive security metrics like an information entropy of 7.999, a correlation coefficient close to 0 and NPCR/UACI close to 99.609%/33.464%. These findings confirm that the proposed scheme offers a superior solution for real-world applications, successfully balancing high efficiency with robust security for batch color image protection.