Improving reversible histogram based data hiding schemes with an image preprocessing method

Mehdi Fallahpour, D. Megías, M. Ghanbari
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Abstract

This paper presents two edge detectors and a preprocessing algorithm for histogram based data hiding schemes. The proposed technique takes advantage of the edge detectors to segment the image into plain and textured areas. The plain areas are selected for embedding where a histogram based scheme is used to embed information in these areas. Since in the plain areas, pixel intensities are close to each other, with the proposed preprocessing algorithm the number of shifted pixels for the same amount of hidden data capacity are decreased which results in a better transparency. To validate the efficiency of the technique two of the best known histogram based schemes which use prediction and interpolation are implemented and results are compared with and without the preprocessing scheme. The experimental results show that the histogram based methods with preprocessing algorithm, under the same capacity, have better transparency than the schemes without preprocessing. This scheme improves capacity, even by 200%, at equal distortion, or about 4 dB improvement in PSNR, at the same hiding capacity.
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用图像预处理方法改进基于可逆直方图的数据隐藏方案
本文提出了基于直方图的数据隐藏方案的两种边缘检测器和一种预处理算法。该方法利用边缘检测器将图像分割成平面和纹理区域。选取平原区域进行嵌入,利用基于直方图的方案在这些区域嵌入信息。由于在平原地区,像素强度相互接近,采用本文提出的预处理算法可以减少相同隐藏数据容量的偏移像素数,从而获得更好的透明度。为了验证该技术的有效性,实现了两种最著名的基于直方图的预测和插值方案,并将结果与未进行预处理的方案进行了比较。实验结果表明,在相同容量下,经过预处理的基于直方图的方法比未经预处理的方法具有更好的透明性。在相同的隐藏容量下,该方案将容量提高了200%,或者将PSNR提高了约4db。
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