奇偶量化DCT系数实现文本信息隐藏

提出了一种基于图像载体的文本信息隐藏算法。引入一种新的基于地址错位的随机发生器算法，对所嵌入信息进行置乱。根据置乱后信息按照特定规则对图像量化系数进行奇偶处理，从而实现文本信息嵌入。针对图像压缩时所导致的误码，利用JND模型，提出了一种新的基于提取对比的误码修正算法。实验表明，该算法具有较强的鲁棒性和不可见性，在抵抗JPEG压缩、噪声、剪切等干扰具有较优良的性能。

Parity quantization of DCT coefficient on text information hiding

This text proposes parity quantization and amendment algorithm of text information hiding based on DCT domain of image.Firstly a new pseudo-random generator is introduced based on the dislocation of sorting,and the embedded information is scrambled.On the base of the theory and process of JPEG compression,parity quantization of DCT coefficient of image is proposed on the special rules.It is a really blind-extraction algorithm.Against the bit error when the picture is compressed,with JND model in order to keep invisible,a new bit error correction method is proposed based on extraction-comparison.Experimental results show that this algorithm is robust and the hiding text is invisible,and it is excellent in resisting the JPEG compression resistance,noise and clipping.