A Study of the Robustness and Distortion for Trellis-Coded-Quantization-Based Data Hiding Algorithms

• Main Authors: Heng-An Li, 李恆安
• Other Authors: Yuh-Ming Huang
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/05989191278703087560

碩士 === 國立暨南國際大學 === 通訊工程研究所 === 99 === Since that it is not easy for the naked eye to detect any anomalies in a picture with a little distortion. Data hiding technology can be used to hide the secret information in a picture. The principle of the Trellis-Coded-Quantization-based data hiding is to utilize the relationship between the trellis encoder and the quantizer to achieve data hiding. In the past, most of the data hiding method focus on the previous encoder. Compared to the previous studies in the literature, new selection technologies are proposed to make the choices of the quantized path become more flexible. Hence, after embedding the secret data, the picture has lower distortion and has better robustness when encountering slight damage. The distortion and the robustness of our proposed data hiding schemes are thoroughly analyzed in this dissertation.