A Generalized PVO Reversible Data Hiding Scheme

• Main Authors: Tseng, Yu-Ju, 曾郁茹
• Other Authors: Lee, Chin-Feng
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/43442492775231516222

碩士 === 朝陽科技大學 === 資訊管理系 === 104 === Stego image can be recover to original state by reversible data hiding technology which applicable to military, medical, high-crime investigation and sensitivity images. Reversible data hiding with higher image quality but embedded capacity is lower. The classic of reversible data hiding are two main categories. Histogram shifting and modification and difference expansion. In 2013 Li et al. proposed pixel value ordering method which is easy to use and the stego image quality could be 52dB high. Compare with histogram shifting and modification and difference expansion, pixel value ordering method with the highest stego image quality. But most of reversible data hiding method with lower embedding capacity. This research propos a general pixel value ordering (GePVO) method which is unshackle of block size and reference pixel to preduce. GePVO uses reference pixel to the maximum pixel and minimum pixel to predict each pixel. With more prediction error could increase more embedding possibility. General pixel value ordering method in difference reference pixel and difference block size could make difference result of embedding capacity which is higher than original pixel value ordering method. In this research we use 12 image for experiment. The embedding capacity 70,346bit on average when reference pixel in the bound of block. The embedding capacity is higher than PVO method 3 times on average and the image quality maintain in 40.24dB on average. However the embedding capacity is higher than PVO method 1.8 times on average when the reference pixel in the middle of the block. The image quality maintain 48.09dB on average. In this research propos a general pixel value ordering method (GePVO) which has high embedding capacity and high image quality to improve GePVO with more adaptive and adjustable.