REVERSIBLE DATA HIDING BASED ON FUZZY PREDICTOR

• Main Authors: Sz-Jiun Fan, 范嗣俊
• Other Authors: Shuenn-Shyang Wang
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/54782295116386513461

碩士 === 大同大學 === 通訊工程研究所 === 98 === This thesis proposes three reversible data hiding schemes. The first reversible data hiding scheme combines the fuzzy predictor with histogram shifting to embed data. The fuzzy predictor exploits the redundancy in the image to predict pixel value, and it results in better prediction of smooth and edge regions. Using the fuzzy predictor, we calculate the predicted value for each pixel and obtain the prediction error. Based on the histogram of the prediction errors, we modify the prediction errors slightly to embed data into the image. The second and the third reversible data hiding schemes are devised to improve the efficiency of the first scheme. These three schemes can recover the original image without any distortion from the marked image after the hidden data have been extracted. The PSNR of the stego-image performed by our three schemes can achieve above 48dB. Experimental results show that these three schemes provide competitive performances compared with the prior works.