A novel high-performance reversible data hiding scheme using SMVQ and improved locally adaptive coding method
Reversible data hiding is a method that not only embeds secret data but also reconstructs the original cover image without distortion after the confidential data are extracted. In this paper, we propose novel reversible data hiding scheme that can embed high capacity of secret bits and recover image after data extraction. Our proposed scheme depends on the locally adaptive coding scheme (LAC) as Chang&Nguyens scheme and SMVQ scheme. Experimental results show that the compression rate of our proposed scheme is 0.33bpp on average. To embed secret bits we propose the normal-hiding scheme and the over-hiding scheme which have an average embedding rate of 2.01bpi and 3.01bpi, more than that of Chang&Nguyens scheme (1.36bpi). The normal-hiding scheme and the over-hiding scheme also has high embedding efficiency of 0.28 and 0.36 on average, which are better than that of Chang&Kieus scheme (0.12), Chang&Nguyens scheme (0.18) and Chang&Nguyens scheme (0.16).
reversible data hiding data hiding locally adaptive coding scheme (lac) image compression vector quantization (vq) side-match vector quantization (smvq) high embedding rate steganography threshold list