A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image Inpainting

In this paper, we propose a novel joint data-hiding and compression scheme for digital images using side match vector quantization (SMVQ) and image inpainting. The two functions of data hiding and image compression can be integrated into one single module seamlessly. On the sender side, except for t...

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Bibliographic Details
Published in:IEEE transactions on image processing 2014-03, Vol.23 (3), p.969-978
Main Authors: Qin, Chuan, Chang, Chin-Chen, Chiu, Yi-Ping
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Coding, codes
Compressed
Compressing
Computer Security
Cryptography
Data Compression - methods
Data hiding
Diffusion barriers
Digital images
Distortion
Erbium
Exact sciences and technology
Image coding
Image compression
image inpainting
Image Interpretation, Computer-Assisted - methods
Image processing
Image segmentation
Indexes
Information, signal and communications theory
Reproducibility of Results
Sampling, quantization
Sensitivity and Specificity
side match vector quantization (SMVQ)
Signal and communications theory
Signal processing
Signal Processing, Computer-Assisted
Telecommunications and information theory
Transaction processing
Vector quantization
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Summary:In this paper, we propose a novel joint data-hiding and compression scheme for digital images using side match vector quantization (SMVQ) and image inpainting. The two functions of data hiding and image compression can be integrated into one single module seamlessly. On the sender side, except for the blocks in the leftmost and topmost of the image, each of the other residual blocks in raster-scanning order can be embedded with secret data and compressed simultaneously by SMVQ or image inpainting adaptively according to the current embedding bit. Vector quantization is also utilized for some complex blocks to control the visual distortion and error diffusion caused by the progressive compression. After segmenting the image compressed codes into a series of sections by the indicator bits, the receiver can achieve the extraction of secret bits and image decompression successfully according to the index values in the segmented sections. Experimental results demonstrate the effectiveness of the proposed scheme.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2013.2260760