基于预测熵的JPEG图像无损数据隐藏

摘要

针对数据隐藏中的子块选择问题,提出一种基于预测熵的JPEG图像无损数据隐藏方法.利用直方图对法预测JPEG图像DCT系数块的熵,选择熵小的子块,并在中低频系数中嵌入数据.该方法可实现嵌入数据的盲提取和图像数据的无损恢复,且无需记录嵌入数据的子块位置.实验结果表明,与其他方法相比,该方法获得图像的峰值信噪比较高,数据隐藏性能较好.%Aiming at the problem of choosing DCT coefficients blocks in data hiding, this paper proposes a lossless data hiding method for JPEG images based on minimum entropy. Utilizing the histogram pairs method, data are embedded into the low-middle frequency quantized coefficients of DCT blocks with the minimum forecast entropy. Without recording location map of selected blocks, hidden data can be extracted blindly and the original image can be reconstructed with no distortion. Experimental results show that the Peak Signal to Noise Ratio(PSNR) of this method is higher than other methods.