Abstract
Currently JPEG is the most popular image file format and the majority of images are stored in JPEG format due to storage constraint. Recently, reversible data hiding (RDH) for JPEG images draws researchers attention and has been developed rapidly. Due to the compression, performing RDH on a typical JPEG image is much more difficult than that on an uncompressed image. In this paper, we propose an adaptive reversible data hiding method for JPEG images, which is based on histogram shifting. We propose to select the optimal expandable bins-pair at image level by adopting a k-th nearest neighbors (KNN) algorithm. By developing a new block selection strategy, we can adaptively select the to-be-embedded blocks. Then, the message bits are embedded into the selected blocks at a specific bins-pair via the histogram shifting algorithm. Experimental results demonstrate that our proposed method can achieve a higher image quality and a less increased file size compared to the current state-of-the-art RDH method for JPEG images.
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Acknowledgments
This work was supported by National Key Research and Development Plan (No. 2016YFC0801004, 2016YFB0800100), National Natural Science Foundation of China (No. 61332012, 61671448), “Strategic Priority Research Program” of the Chinese Academy of Sciences (No. XDA06010701), and National Program for Support of Top-notch Young Professionals.
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Yin, J., Wang, R., Guo, Y., Liu, F. (2017). An Adaptive Reversible Data Hiding Scheme for JPEG Images. In: Shi, Y., Kim, H., Perez-Gonzalez, F., Liu, F. (eds) Digital Forensics and Watermarking. IWDW 2016. Lecture Notes in Computer Science(), vol 10082. Springer, Cham. https://doi.org/10.1007/978-3-319-53465-7_34
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DOI: https://doi.org/10.1007/978-3-319-53465-7_34
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