Abstract

This article proposes a reversible information hiding algorithm based on chaos and histogram translation in ciphertext images to address the shortcomings of traditional algorithms such as separation of encryption and information hiding processes, small embedding capacity, and inflexible operation. This article first uses grayscale images as a carrier for digital images, analyzes and studies existing reversible information hiding algorithms in the ciphertext domain of grayscale images, and improves them to solve the problems of existing reversible information hiding algorithms in the ciphertext domain. Secondly, the sender first encrypts the image and then embeds the information; The receiving end can either decrypt and extract information first, or extract and decrypt information first. Finally, we selected a Lena grayscale image with 513 pixels × 513 pixels for the experiment, dividing the image into 4 blocks (r = 4), and scrambling the pixel positions using DLKL transform for each block, with parameters k = 4, n = 7, q = 59. The simulation results show that the algorithm is easy to implement and can effectively improve the capacity of information embedding.

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