IEEE Transactions on Information Theory
A novel high-capacity data-embedding system
IEEE Transactions on Image Processing
A path optional lossless data hiding scheme based on VQ joint neighboring coding
Information Sciences: an International Journal
A lossless robust data hiding scheme
Pattern Recognition
A novel image hiding approach based on correlation analysis for secure multimodal biometrics
Journal of Network and Computer Applications
Journal of Visual Communication and Image Representation
Huffman-code strategies to improve MFCVQ-based reversible data hiding for VQ indexes
Journal of Systems and Software
A steganographic scheme by fully exploiting modification directions
Expert Systems with Applications: An International Journal
Efficient reversible data hiding for color filter array images
Information Sciences: an International Journal
Lossless data hiding for VQ indices based on neighboring correlation
Information Sciences: an International Journal
Digital Signal Processing
Efficient reversible data hiding algorithm based on gradient-based edge direction prediction
Journal of Systems and Software
Information Sciences: an International Journal
Low bit-rate information hiding method based on search-order-coding technique
Journal of Systems and Software
Reversible data hiding for depth maps using the depth no-synthesis-error model
Information Sciences: an International Journal
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Information hiding methods are currently exploited by many researchers for various applications. Proposing an efficient and feasible information hiding method is valuable. This paper presents a new reversible information hiding method for vector quantization (VQ)-compressed grayscale images by using joint neighboring coding (JNC) technique. The proposed method embeds secret data by using the difference values between the current VQ-compressed index and left or upper neighboring indices. The experimental results show that the proposed method achieves the best visual quality of reconstructed images compared with the two related works. In addition, the proposed method obtains as high embedding capacity as Lin and Chang's method, followed by Yang et al.'s method. As for execution speed, Yang et al.'s method is fastest, followed by the proposed method, and then Lin and Chang's method. With respect to bit rate, the proposed method has a little higher bit rate in comparison with the two related works.