Fractal curves to improve the reversible data embedding for VQ-indexes based on locally adaptive coding

نویسندگان

  • Cheng-Hsing Yang
  • Yi-Cheng Lin
چکیده

1047-3203/$ see front matter 2010 Elsevier Inc. A doi:10.1016/j.jvcir.2010.02.008 * Corresponding author. Fax: +886 8 7215034. E-mail addresses: [email protected], b [email protected] (C.-H. Yang). The VQ reversible data embedding technology allows an original VQ coding to be completely restored after the extraction of embedded data. In this paper, we propose a new reversible scheme based on locally adaptive coding for VQ-compressed images. The fractal Hilbert curve is applied to replace the traditional trace of processing the VQ index table. The VQ index table is pre-processed to create a fractal Hilbert curve. Following the curve to process the VQ index table can get better compression rates in the data embedding procedure. Besides, compared to Chang et al.’s scheme, which compressed the inputted VQ index value only when the to-be-embedded bit b is 0, our method performs compressing operations in both cases that the to-be-embedded bits b are 0 and 1. The experimental results show that the proposed method has the best compression rate and the highest embedding capacity compared with other reversible VQ embedding methods. 2010 Elsevier Inc. All rights reserved.

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

Huffman-code strategies to improve MFCVQ-based reversible data hiding for VQ indexes

Data hiding, which embeds secret data into cover media, is one type of technology used to achieve the multimedia security. A reversible data hiding method has the characteristic that the cover media can be completely reconstructed after secret data are extracted. Recently, some reversible data hiding schemes have focused on the vector quantization (VQ)-compressed format. Using the modified fast...

متن کامل

Hybrid Matrix Coding and Error-correction Coding Scheme for Reversible Data Hiding in Binary Vq Index Codestream

In this paper, we propose a novel reversible data hiding framework to hide secret data into a binary codestream of VQ indices invertibly, in which matrix encoding is used to efficiently embed secret data, and error correction coding (ECC) is employed for lossless restoration of the marked codestream at the receiver side. Due to the unchanged structure of the codestream during the embedding proc...

متن کامل

A Survey on Joint Data-Hiding and Compression Techniques based on SMVQ and Improved Locally Adaptive Coding Method

Today Reversible data hiding is latest research area in the field of secret data hiding technique. Data hiding is a technique in which conceal secret data is hidden in some cover image like video, audio, movie, file, and image. Data hiding popularly used in medical and military application. This paper covers many hiding and compression techniques like vector quantization (VQ), side match vector...

متن کامل

Lossless Data Hiding Based on Improved Vq Index Joint Neighboring Coding

Data hiding is a form of steganography to embed secret data into digital media for the purpose of content authentication, annotation and copyright protection. Lossless data hiding is a special kind of data hiding technique that guarantees the digital media can be losslessly restored after the secret data are correctly extracted. In the past several years, several reversible data hiding schemes ...

متن کامل

High Efficiency Reversible Data Hiding for Two-stage Vector Quantization Compressed Images

Data hiding is a booming technique aiming to embed secret data into digital media for content authentication, annotation or copyright protection. Reversible data hiding is a special type of data hiding technique that guarantees the host digital media can be losslessly recovered after the secret data are correctly extracted. In the past several years, some reversible data hiding schemes for Vect...

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:
  • J. Visual Communication and Image Representation

دوره 21  شماره 

صفحات  -

تاریخ انتشار 2010