An efficient block-based lossless information hiding technique
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
An Efficient Reversible Image Authentication Method
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Reversible Data Hiding Based on Three-Circular-Pixel Difference Expansion
Fundamenta Informaticae
A New Approach in Reversible Watermarking
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Improved Digital Watermarking Using DWT Masking
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Toward Quality Improvement in Location Map Free Reversible Watermarking
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Reversible watermarking using statistical information
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
A novel color palette image authentication scheme
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Reversible Data Hiding Based on Three-Circular-Pixel Difference Expansion
Fundamenta Informaticae
Journal of Systems and Software
Reversible data hiding using side-match predictions on steganographic images
Multimedia Tools and Applications
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A lossless data embedding method that inserts data in images in the spatial domain is proposed in this paper. Though a lossless data embedding method once distorts an original image to embed data into the image, the method restores the original image as well as extracts hidden data from the image in which the data are embedded. To guarantee the losslessness of data embedding, all pixel values after embedding must be in the dynamic range of pixels. Because the proposed method modifies some pixels to embed data and leaves other pixels as their original values in the spatial domain, it can easily keep all pixel values after embedding in the dynamic range of pixels. Thus, both the capacity and the image quality of generated images are simultaneously improved. Moreover, the proposed method uses only one parameter based on the statistics of pixel blocks to embed and extract data. By using this parameter, this method does not require any reference images to extract embedded data nor any memorization of the positions of pixels in which data are hidden to extract embedded data. In addition, the proposed method can control the capacity for hidden data and the quality of images conveying hidden data by controlling the only one parameter. Simulation results show the effectiveness of the proposed method; in particular, it offers images with superior image quality to conventional methods.