REN Zhi-bin, SUI Yong-xin, YANG Ying-hui, YANG Huai-jiang. Study of the MSB information-hiding technique in a carrier image[J]. Editorial Office of Optics and Precision Engineering, 2002,(2): 182-187
REN Zhi-bin, SUI Yong-xin, YANG Ying-hui, YANG Huai-jiang. Study of the MSB information-hiding technique in a carrier image[J]. Editorial Office of Optics and Precision Engineering, 2002,(2): 182-187DOI:
Study of the MSB information-hiding technique in a carrier image
Encryption technique is an important method to ensure safe communication
but it has a shortcoming. Because the files encrypted are vulnerable to attackers
they may be destroyed.To solve the problem
the authors take advantages of the encryption technique and information-hiding technique
i.e. concealing the information encrypted into a carrier file. The authors adopts color image files being used in the Internet. If human eyes can not observe the diversifications of the carrier image before and after hiding
the method can be very safe.As far as the authors know
there are two kinds of encryption techniques. One is based on frequency region
such as expanding frequency hiding
DCT hiding and sub-wave hiding
etc. By these methods the information is concealed into the high frequency heft of the carrier image code
which can not be observed by human eyes. Generally speaking
not much data can be concealed into a carrier image. The other is based on space region
a typical method to conceal information in the least significance bits (LSB); however
due to their unsafety
they are not important to the carrier image. This paper provides a method that can create redundant space in a color image by color quantization and hiding information in the MSB of the image. The method is better than that in LSB since the MSB is very important to the visual effect of the image.
关键词
Keywords
references
Akrout N,Prost R, Goutte R.A fast algorithm for vector quantization in radiological image compression[J].SPIE.1993,1897:259-290.
Sangeeta R,Kenneth R, Allen G.Constrained-storage vector quantization with a universal code book[J].IEEE transactions on image processing.June, 1998,7(6):785-793.
Andy C H Teresa H M.Multidimensional rotations for robust quanzation of image data[J].IEEE transactions of image processing.1998,7(1):1-12.
Heckbert P.Color image quantization for frame buffer display[A].In Proceedings of Siggraph'82[C].ACM, New York, 1982.297-307.
Orchard M, Bounman C.Color quantization of images[J].IEEE Trans.On Signal, 1991, 39(12): 2677-2690.
Linde Y, Buzo A,Gray R.An algorithm for vector quantizer design[J].IEEE Transactions on Communications, 1980, 28(1): 84-95.
Wu X.Color quantization by dynamic programming and principal analysis[J].ACM Transactions on Graphics, 1992,11(4): 348-372.
Dekker A.Kohonen neural networks for optimal colour quantization[J].Network: Computation in Neural Systems, 1994,5:351-367.
Gentile R S, Walowit E,Allebach J P.Quantization and multilevel halftoning of color images for near original image quality[J].SPIE, 1990, 1249: 249-260.
Floyd R W,Steinberg L.An adaptive algorithm for spatial grayscale[J].SID, 1976, 17(2): 75-77.
Fan Zh G.Stability analysis for color error diffusion[J].SPIE, 2000,3963:483-488.