Study on Reversible Data Hiding Schemes based on Prediction-Error-Expansion Techniques

• Main Authors: Ya-Shin Yao, 姚雅心
• Other Authors: Jen-Chun Chang
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/58698703936788391666

碩士 === 國立臺北大學 === 資訊工程學系 === 102 === We revisit reversible data hiding schemes based on prediction-error-expansion techniques. Recently, in Signal Processing, Li, Li, Li, and Yang proposed a new prediction-error-expansion technique and used it to construct a high-fidelity reversible data embedding scheme. However, the embedding capacity of their proposed scheme is not high. Directly applying multi-pass embedding increases the embedding capacity but results in a large of image degradation. In this paper, we generalize the prediction-error-expansion technique proposed by Li, Li, Li, and Yang. Then, we use the generalized schemes to characterize their proposed data embedding scheme. In order to prevent the image degradation due to applying two-pass embedding, we propose a novel data embedding scheme which is a combination of our proposed generalized data embedding schemes. Finally, experimental results show our proposed scheme obtains higher embedding capacity and image quality than the two-pass embedding scheme proposed by Li, Li, Li, and Yang.