Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
A steganographic method based upon JPEG and quantization table modification
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent multimedia computing and networking
Lossless data embedding--new paradigm in digital watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
Invertible Authentication Watermark for JPEG Images
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Hiding secret data in images via predictive coding
Pattern Recognition
Reversible Steganography for VQ-Compressed Images Using Side Matching and Relocation
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Multimedia
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
A Reversible Data Hiding Scheme Based on Side Match Vector Quantization
IEEE Transactions on Circuits and Systems for Video Technology
Reversible data hiding scheme with high payload for JPEG images
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
A DCT based reversible data embedding scheme for MPEG-4 video using HVS characteristics
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
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This paper presents a lossless steganography method based on the multiple-base notation approach for JPEG images. Embedding a large amount of secret data in a JPEG-compressed image is a challenge since modifying the quantized DCT coefficients may cause serious image distortion. We propose two main strategies to deal with this problem: (1) we embed the secret values in the middle-frequency of the quantized DCT coefficients, and (2) we limit the number of nonzero values of the quantized DCT coefficients that participate in the embedding process. We also investigated the effect of modifying the standard quantization table. The experimental results show that the proposed method can embed twice as much secret data as the irreversible embedding method of Iwata et al. under the same number of embedded sets. The results also demonstrate how three important factors: (1) the quantization table, (2) the number of selected nonzero quantized DCT coefficients, and (3) the number of selected sets, influence the image quality and embedding capacity.