Abstract
The joint photographic experts group (JPEG) is the most popular image format in our daily life, and it is widely used by digital cameras and other photographic capture devices. Recently, reversible data hiding (RDH) for JPEG images has become an active research area in the field of data hiding. In this paper, a new two-dimensional coefficient-histogram based RDH scheme for JPEG image is proposed. First, a two-dimensional quantized discrete cosine transform (DCT) coefficient-histogram is generated. Then, data are embedded according to a specifically designed coefficient-pair-mapping (CPM). Here, by the proposed approach, compared with the one-dimensional histogram-based RDH for JPEG images, the increased file size is minimized. Moreover, the selection strategy based on the optimal frequency band of the DCT coefficient-pairs is proposed, by which the distortion of the marked JPEG image is minimized. Compared to some state-of-the-art RDH methods for JPEG images, experimental results show the superiority of our methods both in image quality and increased file size.
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Acknowledgments
This work is partially supported by the National Natural Science Foundation of China (61772572), The NSFC-NRF Scientific Cooperation Program (61811540409), the Natural Science Foundation of Guangdong Province of China (2017A030313366), and the Fundamental Research Funds for Central Universities (17lgjc45).
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Cheng, S., Huang, F. (2018). Reversible Data Hiding in JPEG Images Based on Two-Dimensional Histogram Modification. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11066. Springer, Cham. https://doi.org/10.1007/978-3-030-00015-8_34
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DOI: https://doi.org/10.1007/978-3-030-00015-8_34
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