Binary-block embedding for reversible data hiding in encrypted images

نویسندگان

  • Shuang Yi
  • Yicong Zhou
چکیده

This paper first introduces a binary-block embedding (BBE) method to embed secret data in a binary image. Using BBE, we propose an algorithm for reversible data hiding in encrypted images (BBE-RDHEI). It uses BBE to embed binary bits in lower bit-planes of the original image into its higher bit-planes such that the lower bitplanes can be reserved for hiding secret data in subsequent processes. BBE-RDHEI employs a bit-level scrambling process after secret data embedding to spread embedded secret data to the entire marked encrypted image so that it can prevent secret data from loss. A security key design mechanism is proposed to enhance the security level of BBE-RDHEI. The processes of BBE-RDHEI are fully reversible. The secret data and original image can be reconstructed independently and separately. Experiments and comparisons show that BBERDHEI has an embedding rate nearly twice larger than the state-of-the-art algorithms, generates the marked decrypted images with high quality, and is able to withstand the brute-force, differential, noise and data loss

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Reversible Data Hiding In Encrypted Images Using Dct

This letter proposes a method of reversible data hiding method in encrypted images using DCT.Reversible data hiding is a technique to embed additional message into some cover media with a reversible manner so that the original cover content can be perfectly restored after extraction of the hidden message. The data extraction can be achieved by examining the block smoothness. This letter adopts ...

متن کامل

New Reversible Data Hiding Scheme for Encrypted Images using Lattices

Reversible data hiding is a technique to hide arbitrary data, without influencing the original images. In 2011, Zhang proposed a reversible data hiding scheme for encrypted images, by using a spatial correlation of the decrypted original image. Later, Hong et al. proposed an improved scheme by using side-match techniques, and modifying the correlation calculation function. In this paper, we pro...

متن کامل

Enhanced Joint and Separable Reversible Data Hiding in Encrypted Images with High Payload

Recently, much attention has been paid to reversible data hiding (RDH) in encrypted images, since it preserves the data that the original image can be perfectly recovered after data extraction while protecting the confidentiality of image content. In this paper, we propose joint and separable RDH techniques using an improved embedding pattern and a new measurement function in encrypted images w...

متن کامل

A Novel Encryption and Extended Dynamic Histogram Shifting Modulation for Reversible Data Hiding in Encrypted Image

Recently, progressive interest is paid to reversible data hiding (RDH) in encrypted images, since it preserves the original cover can be recovered without any loss after embedded data is extracted to protect the confidentiality of image content’s.Earlier method used“vacate room after Encryption” in which data can be embedded by reversibly vacating room from the encrypted images. This might caus...

متن کامل

Separable Reversible Data hiding in Encrypted Images by n-nary Histogram Modification

This work proposes a novel scheme of separable reversible data hiding for encrypted image using histogram modification. After the original image is encrypted by the sender, the data-hider embeds the secret message into the encrypted image by a histogram modification and n-nary data hiding scheme. On the receiver side, the secret message can be extracted by the embedding key, and the original im...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Signal Processing

دوره 133  شماره 

صفحات  -

تاریخ انتشار 2017