Reversible data hiding scheme for high dynamic range images based on multiple prediction error expansion

For sensitive areas that even the slight distortion in images is not tolerated, we propose a prediction error expansion-based reversible data hiding algorithm which can embed reversible watermark in high dynamic range (HDR) image with low distortion. On the one hand, considering unique floating-point storage format and perceptual characteristics of HDR image, the multiple carriers are generated with low distortion and various characteristics to improve the embedding capacity. On the other hand, multi-model predictor and multi-level embedding strength are adopted adaptively to realize multi-level reversible HDR image information hiding based on prediction error expansion. The experimental results show that the proposed algorithm has good invisibility by making full use of HDR image characteristics. Meanwhile, the multiple strategies of multiple carriers, multi-model predictor and multi-level embedding strength, which further improve the embedding capacity and security of the algorithm, can meet the needs of sensitive areas such as medical processing, judicial authentication, and so on.

Automated summary

The proposed algorithm utilizes the characteristics of HDR images to achieve good invisibility while improving embedding capacity and security through multiple strategies such as multiple carriers, multi-model predictor, and multi-level embedding strength. This algorithm meets the needs of sensitive areas such as medical processing and judicial authentication.