High-Capacity Reversible Data Hiding in Encrypted Images Based on Adaptive Predictor and Compression of Prediction Errors

Bin Huang, Chun Wan and Kaimeng Chen
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Bin Huang: Computer Engineering College, Jimei University, Xiamen 361021, China
Chun Wan: Computer Engineering College, Jimei University, Xiamen 361021, China
Kaimeng Chen: Computer Engineering College, Jimei University, Xiamen 361021, China

Mathematics, 2021, vol. 9, issue 17, 1-15

Abstract: Reversible data hiding in encrypted images (RDHEI) is a technology which embeds secret data into encrypted images in a reversible way. In this paper, we proposed a novel high-capacity RDHEI method which is based on the compression of prediction errors. Before image encryption, an adaptive linear regression predictor is trained from the original image. Then, the predictor is used to obtain the prediction errors of the pixels in the original image, and the prediction errors are compressed by Huffman coding. The compressed prediction errors are used to vacate additional room with no loss. After image encryption, the vacated room is reserved for data embedding. The receiver can extract the secret data and recover the image with no errors. Compared with existing approaches, the proposed method efficiently improves the embedding capacity.

Keywords: reversible data hiding; image encryption; linear regression; Huffman coding (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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