论文部分内容阅读
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 current (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 secret information) and the stego-images (images with secret information) are perceptually indiscernible.
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. Thus, information hidden in images is probably destroyed by JPEG compression. The basic idea of our algorithm is to modify the quantized direct current (DC) coefficients and non-zero alternating current (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 secret information) and the stego-images (images with secret information) are perceptually indiscernible.