This paper presents a run length encoding (RLE) based reversible data hiding (RDH) scheme designed specifically for higher order pixel group values of image intensities. RDH aims to embed additional data into the host image while maintaining the ability to completely recover the original image without any loss. The proposed scheme utilizes the RLE technique to exploit the statistical characteristics of higher order intensity values in images. By identifying suitable run-length blocks within the image, the scheme intelligently embeds the additional data, ensuring efficient utilization of the available capacity. The model again encrypts the image after data embedding to establish the confidentiality as well as integrity of the hidden data, adding an extra layer of security to protect against unauthorized access and alterations. To achieve reversibility, the scheme carefully encodes the embedded data within the run-length segments, ensuring that the original image can be perfectly reconstructed. By embedding data, the visual quality of the image is intentionally reduced. However, using an encryption technique randomness is increased there by frustrating potential attackers when they attack. The average embedding capacity for a 512×512 image is approx. 177463 bits and the entropy after encryption is 7.999 bpp. Experimentation results demonstrate the efficacy of the proposed scheme in terms of reversibility, embedding capacity, and entropy values, thereby showcasing its potential for practical applications.

中文翻译：

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加密图像中基于游程编码的可逆数据隐藏方案

本文提出了一种基于游程编码（RLE）的可逆数据隐藏（RDH）方案，专为图像强度的高阶像素组值而设计。RDH 旨在将附加数据嵌入到主机映像中，同时保持完全恢复原始映像而不造成任何损失的能力。所提出的方案利用 RLE 技术来利用图像中高阶强度值的统计特征。通过识别图像中合适的游程长度块，该方案智能地嵌入附加数据，确保有效利用可用容量。该模型在数据嵌入后再次对图像进行加密，以建立隐藏数据的机密性和完整性，增加额外的安全层以防止未经授权的访问和更改。为了实现可逆性，该方案仔细地对游程段内的嵌入数据进行编码，确保可以完美地重建原始图像。通过嵌入数据，图像的视觉质量被有意降低。然而，使用加密技术可以增加随机性，从而在潜在攻击者发起攻击时挫败他们。512×512 图像的平均嵌入容量约为。177463位，加密后的熵为7.999bpp。实验结果证明了该方案在可逆性、嵌入容量和熵值方面的有效性，从而展示了其实际应用的潜力。