The Research Of The Large Information-hiding Capacity Of Digital Images

In this paper, we mainly study the methods of large capacity of information hidden in the digital image. These classical algorithm on information hiding, including bit plane methods,palette-based methods,space methods,frequency-domain methods and wavelet transform methods.First, according to the different methods of information hiding prove the best hidden distribution proportion. Based on the basic characteristics of five characteristic methods, a plane analysis: palette-based formula: The pace method which is the typical one of information hiding,least significant bit (Least significant bit,LSB); frequency-domain methods And spectrum formula Wavelet transform: a> 0 All Is given the optimization description.This paper mainly thought is based on the analysis of image texture, and divides the known limited space hidden more information, according to the basic characteristics of eye of imaging of different image case, different situation are required different execution conditions.Finally, this paper the methods already compared with traditional method, analysis the texture insert large hidden information of the advantages and disadvantages of, puts forward aspects should be improved.