Reversible data hiding methods in integer wavelet transform

Abstract

Reversible data hiding is art of concealing secret information such that cover media and secret information are both recovered without any information loss. In this paper high frequency sub-bands of integer wavelet transform are used for data embedding. All coefficients are used for embedding and to improve the security the embedding is carried out in frequency domain using spiral, sequential and random embedding method. The main objective of this research is to hide the maximum data with minimal distortion and to attain reversible hiding phenomenon both in cover and secret image. The experimental result shows the improved capacity, imperceptibility and complete reversibility attained on standard and medical images. The parameter of robustness has not been vastly studied for reversible data hiding and an attempt is made to check the same for basic attacks and results shows that it can withstand geometrical attack.

A Recursive High Payload Reversible Data Hiding Using Integer Wavelet and Arnold Transform

“…Because visual attacks are more resistant to this technique because there is no pattern, the result of binary streams is embedded in sub-bands using a 2-bit pseudo-LSB random embedding technique. Each block's seed-key is buried in the block's center rows [27]. Arnold transform is applied to the embedded subbands after embedding, and the remaining secret images are inserted.…”

“…Robustness in RDH is still under research, not matured yet. In sensitive applications like medical images, failing to recover original cover medium may result in incorrect diagnosis or analysis of the patient disease which is unacceptable [27].…”

“…Wavelet Transform in general has floating point precision which leads in lossy embedding, So Integer wavelet transform is applied for a complete reversibility [27]. Arnold Transform is applied on both cover image and secret unlike existing system, this improves the security and even the capacity.…”