Reversible Steganography for BTC-compressed Images Based on Information Encoding and Joint Neighboring Coding

• Main Author: 施宣光
• Other Authors: 蕭如淵
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/69854057230916163759

碩士 === 國立彰化師範大學 === 資訊工程學系 === 102 === Recently, reversible steganography becomes a popular research issue. More and more attention have been paid to reversible data hiding techniques for compressed images based on Vector Quantization(VQ),JPEG, and Block Truncation Coding(BTC),because it can recover both the host media and hidden data without distortion. Compared with other compressed method, BTC has a significantly low complexity and less memory requirement, it therefore becomes an ideal data hiding domain. Reversible information hiding is a technique that can restore the stego-media after extracting all the classified messages. Due to the high correlativity with adjacent pixels, a natural image usually contains several smooth regions. In this paper, we proposed a data hiding scheme to embed secret data in the compressed bit streams. Use the bitmap substituting and reconstructed levels replacing and information encoding to hide data in the compressed gray images. And finally we combine the joint neighboring coding technique to hide more information The experimental results show that the proposed method outperforms the previous methods in embedding capacity.