躲在联合摄影专家组(JPEG ) 压缩了图象的信息在这篇论文被调查。量子化是在 JPEGcompression 过程的信息损失的来源。因此,在图象隐藏的信息被 JPEGcompression 可能破坏。这篇论文论述一个算法可靠地在 JPEG 编码的进程把信息嵌进 JPEG 位流。信息抽取在 JPEGdecoding 的过程被执行。我们的算法的基本想法是修改代表一个的系数和非零交流电(流)( 交流) 系数咬了的使量子化的直接水流(DC ) 信息(0or 1 ) 。用基线的灰色的图象上的试验性的结果盖子想象的顺序的 JPEG 编码表演(没有秘密信息的图象) 和 stego 图象(有秘密信息的图象) 是感性地难辨别的。
Information hiding in Joint Photographic Experts Group (JPEG) compressed images are investigated in this paper. Quantization is the source of information loss in JPEG compression process. Therefore, information hidden in images is probably destroyed by JPEG compression. This paper presents an algorithm to reliably embed information into the JPEG bit streams in the process of JPEG encoding. Information extraction is performed in the process of JPEG decoding. The basic idea of our algorithm is to modify the quantized direct current (DC) coefficients and non zero alternating currenl (AC) coefficients to represent one bit information (0 or 1 ). Experimental results on gray images using baseline sequential JPEG encoding show that the cover images (images without scoret information) and the stego-images (images with secret information) are perceptually indiscernible.