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In steganographic technique of "sum and difference covering set" (SDCS), an appropriate SDCS is used to embed data into pixel sequences of cover image. This technique extends the conventional LSB matching and matrix embedding to derive more secure steganography. In this paper, towards stego-security enhancement, a new SDCS-based contentadaptive steganography is proposed. The most noisy pixels...
In this paper, a novel reversible data hiding (RDH) scheme based on reference pixels and adaptive block selection is proposed. We first divide the cover image into non-overlapping blocks. Then for each block, we assign the pixels with median value as reference pixels and the number of reference pixels as a smooth level (SL). In this way, residual histograms for each SL can be generated. For the blocks...
Least significant bit (LSB) matching is a well-known steganographic method with advantages of high payload, good visual/statistical imperceptibility and extreme ease of implementation. However, by utilizing the distortion of one-dimensional histogram or the generated additive embedding noise, some steganalyzers can perceive the existence of covert communication to some extent. Due to this, we extend...
In this paper, a content-adaptive steganographic scheme is proposed. The novel scheme can be viewed as an improvement of the conventional LSB matching. In this scheme, we take advantage of embedding redundancy in LSB matching to select modification direction (i.e., increasing or decreasing the pixel value by 1), and the dependency of neighboring pixels is taken into consideration. More specifically,...
Generally, the steganographic algorithm randomly selects adequate pixels for data embedding, and the embedding distortion distributes uniformly in cover data. However, uniform embedding is not an ideal approach, because the modification in smooth regions (of an image) is more likely to be perceived than in noisy regions. In this paper, in order to achieve a higher level of security, we propose a novel...
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