High capacity reversible information hiding algorithm based on asymmetric prediction error histogram

The embedding capacity of the traditional reversible information hiding algorithm based on the asymmetric prediction error histogram is limited by the number of pixels at the peak point, the available pixels in the image are not fully utilized, resulting in the increase of invalid shift points, which makes the visual quality of camouflage image poor. In this paper, a new multi-bit translation reversible information hiding algorithm based on asymmetric prediction error histogram is proposed, which aims to greatly improve the embedding capacity of carrier image with minimal impact on image quality. The algorithm makes more use of the correlation between adjacent pixels, so that the error value of pixels is more concentrated near the peak point, and the difference between the peak point and the zero point is reduced, so as to obtain a more concentrated asymmetric prediction error histogram, which makes the embedding capacity larger. Meanwhile, the algorithm is not limited to the pixels of the peak point, and the error pixels that meet the conditions around the peak point are also embedded with secret information. The experimental results show that the algorithm can effectively reduce the invalid shifted pixels and reduce the distortion of the camouflage image while maintaining the large embedding capacity.