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A Novel Reversible Data-Hiding Method Using Adaptive Rhombus Prediction and Pixel Selection

摘要


The reversible data hiding (RDH) technique is used to conceal secret data within images such that the original image can be fully recovered upon the extraction of hidden data. Such a technique has attracted much interest from researchers in different fields. In this article, to improve embedding capacity further while maintaining minimum distortion of stego images, a novel reversible data-hiding algorithm is proposed by using the combination of adaptive rhombus prediction and pixel selection. Furthermore, to preserve the image quality well and increase the embedding capacity significantly, the proposed scheme has carefully determined a suitable pixel set and image region for embedding data. The experimental result shows that our method brings better performance than some previous schemes in virtual image quality and embedding capacity.

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