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<p>This study proposes a reversible data hiding algorithm for encrypted high-dynamic-range images, with the potential to significantly impact the field. The algorithm supports high embedding capacity, high embedding rate, and allows for multiple data hiders. It begins by using a median edge detector to predict the value of each processing pixel, and determines the embedding capacity through multi-MSB prediction and leading zero count prediction strategies. Multiple label maps are generated and encoded using Huffman coding to reduce transmission overhead. Furthermore, secret sharing is employed to generate several image shares containing pre-embedded label maps, which are distributed to participants who can independently embed secret message. The proposed algorithm enhances the confidentiality of high-dynamic-range images through secret sharing and improves robustness by using multiple image shares, preventing a single image attack from compromising message recovery. Overall, the algorithm significantly increases embedding capacity. Experimental results demonstrate that this approach makes substantial contributions to reversible data hiding in encrypted high-dynamic-range images.</p>

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High-capacity reversible data hiding in encrypted HDR images with multiple data hiders

  • 期刊论文

  • 发表日期：

    2025年8月29日

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  • Alfrindo Lin,
  • Yun-Ting Lin,
  • Wen-Ting Jao,
  • Yuan-Yu Tsai

摘要

This study proposes a reversible data hiding algorithm for encrypted high-dynamic-range images, with the potential to significantly impact the field. The algorithm supports high embedding capacity, high embedding rate, and allows for multiple data hiders. It begins by using a median edge detector to predict the value of each processing pixel, and determines the embedding capacity through multi-MSB prediction and leading zero count prediction strategies. Multiple label maps are generated and encoded using Huffman coding to reduce transmission overhead. Furthermore, secret sharing is employed to generate several image shares containing pre-embedded label maps, which are distributed to participants who can independently embed secret message. The proposed algorithm enhances the confidentiality of high-dynamic-range images through secret sharing and improves robustness by using multiple image shares, preventing a single image attack from compromising message recovery. Overall, the algorithm significantly increases embedding capacity. Experimental results demonstrate that this approach makes substantial contributions to reversible data hiding in encrypted high-dynamic-range images.