Improved LSB steganography based on scanning correlative degree
一种基于扫描相关度的LSB算法

The adjacent pixels sequence of natural images has the correlation. Based on the statistical character, the concept of scanning correlative degree was proposed. Secret information embedded asymmetrically made the correlative degree of adjacent pixels sequence of carrier image reduced, especially the correlative degree of some local image may saltate. This phenomenon enhanced the risk of secret information being detected. Then an improved method of Least Significant Bit (LSB) was presented. Secret information could be embedded into carrier images symmetrically, and some areas of image which saltated were smoothed through expectation of adjacent pixels. Experiment results show that the new algorithm significantly reduces the saltation of correlative degree.