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In this paper, a recently proposed reversible image watermarking algorithm based on reversible contrast mapping (RCM) is further developed. The integer transform, RCM, which is originally defined on a pair of integers, is extended to integer array of arbitrary length. Based on this generalization, the embedding capacity can be significantly increased. Meanwhile, the embedding distortion is well controlled...
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,...
Matrix embedding is proved an effective way to improve embedding efficiency of steganography, and usually, higher dimensional matrix will provide better embedding efficiency. However, the sender might suffer huge computational complexity when employing high dimensional matrix. In this paper, a variation of matrix embedding is proposed. Instead of finding a coset leader as the modification of the cover...
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...
In this paper, we present an improved method for detecting LSB matching steganography in gray-scale image. Our improvements focus on three aspects: (1) instead of using the amplitude of local extrema of the image's histogram in the previous work, we turn to considering the sum of the amplitude of each point in the histogram; (2) incorporating the calibration (downsample) technique with the current...
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