A Robust Non-Blind Watermarking for Biomedical Images Based on Chaos

Abstract

The advent of the Internet in these last years encouraged a considerable traffic of digital images. In the sanitary field, precisely in telemedicine branch, medical images play a very important role for therapeutic diagnoses. Thus, it is necessary to protect medical images data before transmission over the network to preserve their security and prevent unauthorized access. In this paper, a secure algorithm for biomedical images encryption scheme based on the combination of watermarking technique and chaotic function is proposed. In the proposed method, to achieve high security level performances, a non-blind hybrid watermarking technique with audio signal, Discrete Wavelet Transform is used; smoothness is also used as selected criteria; the iterations obtained by the chaotic sequences are essential and allow a good realization of the encryption process. One of the main advantages of chaos-based encryption schemes is the generation of a large number of key spaces to resist brute force attacks from the encryption algorithm. The experimental results presented in this paper attest to the invisibility and robustness of the proposed algorithm combining watermarking and chaos-based encryption.

Reversible data hiding in JPEG images based on two-stage embedding

“…Information hiding technology, as an effective solution, embeds secret information into images to achieve secret transmission and protection of information. According to whether the original carrier can be restored without distortion, information hiding techniques can be divided into reversible information hiding techniques [1][2] and non-reversible information hiding techniques [3][4].Image reversible information hiding technology is currently the most researched and mature category in reversible information hiding, and it is also the foundation of other reversible information hiding technologies. With the rise of social network media and mobile Internet, reversible information hiding for JPEG images has gradually become a research hotspot in this field.…”