MMJan 3, 2016

Capacity Enlargement Of The PVD Steganography Method Using The GLM Technique

arXiv:1601.00299v112 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for steganography methods, addressing the specific problem of embedding more data without significantly degrading image quality.

The paper tackled the trade-off between capacity and quality in steganography by combining Pixel Value Differencing and Gray Level Modification into a hybrid scheme, resulting in a 25% increase in capacity with only a 2% dB average decline in quality.

In most steganographic methods, increasing in the capacity leads to decrease in the quality of the stego-image, so in this paper, we propose to combine two existing techniques, Pixel value differencing and Gray Level Modification, to come up with a hybrid steganography scheme which can hide more information without having to compromise much on the quality of the stego-image. Experimental results demonstrate that the proposed approach has larger capacity while its results are imperceptible. In comparison with original PVD method criterion of the quality is declined by 2% dB averagely while the capacity is increased around 25%.

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