In order to safeguard media, ensure integrity, facilitate clandestine communication, preserve copyright, and other purposes, the reversible data hiding method in encrypted image (RDHEI) embeds the data within coverings made of either the original cover image or the encrypted image. Basically, there are two broad domains that are used to reserve this redundant space: Bit-plane-based and block-division-based. In this paper, both domains are analyzed along with their advantages and challenges. A tabular comparison of existing techniques is presented later in the paper. The study concludes that bit-plane techniques are more effective than block-division methods, as the embedding capacity can be enhanced through efficient compression. From the tabular comparison, it can be perceived that the embedding capacity of the bit-plane technique is 2.48 bpp. Block-division approaches tend to have lower adaptability as a result of their reliance on predefined block sizes, which can limit their compression efficiency. The security of artificial intelligence data using the RDHEI field is also highlighted. Finally, an insight into the future scope of these techniques is also provided.

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A Comprehensive Analysis of Bit-Plane and Block-Division Techniques for High Capacity Reversible Data Hiding in Encrypted Image

  • Rama Singh,
  • Ankita Vaish

摘要

In order to safeguard media, ensure integrity, facilitate clandestine communication, preserve copyright, and other purposes, the reversible data hiding method in encrypted image (RDHEI) embeds the data within coverings made of either the original cover image or the encrypted image. Basically, there are two broad domains that are used to reserve this redundant space: Bit-plane-based and block-division-based. In this paper, both domains are analyzed along with their advantages and challenges. A tabular comparison of existing techniques is presented later in the paper. The study concludes that bit-plane techniques are more effective than block-division methods, as the embedding capacity can be enhanced through efficient compression. From the tabular comparison, it can be perceived that the embedding capacity of the bit-plane technique is 2.48 bpp. Block-division approaches tend to have lower adaptability as a result of their reliance on predefined block sizes, which can limit their compression efficiency. The security of artificial intelligence data using the RDHEI field is also highlighted. Finally, an insight into the future scope of these techniques is also provided.