Lossless hidden data recovery using bit depth data embedding - A new concept

Abstract

This paper presents a new concept of exploiting bit depth data embedding using second level biorthogonal wavelet horizontal coefficients of a JPEG2000 compressed greyscale image as cover media. Based on the performance comparisons of the potential wavelets and discrete wavelet transform (DWT) based data hiding techniques it is expected that the bit depth data embedding may have higher stego-image imperceptibility and robustness of hidden data as well as its lossless recovery.