Image Steganographic Method Based on Wavelet Contrast and Neural Networks
Huixian Huang · Jisuanji gongcheng · 2010
To provide larger capacity of the hidden secret data and to maintain a better visual quality of stego-image,this paper presents a image steganographic method based on Self-Organizing feature Map(SOM) neural networks and wavelet contrast.It divides an image into blocks,and decomposes every block into one-level wavelet to obtain the wavelet contrast.The method classifies blocks into 3 kindsby SOM,and embeds secret information with steganography,which is based on modulus.Experimental results show that the proposed method hides much more information and maintains a better visual quality of stego-image.