Interleaving Max-Min Difference Histogram Shifting Data Hiding Method
نویسندگان
چکیده
* Corresponding author. Tel:+886 4 27016855 ext. 1381; Fax:+886 4 27026986 Abstract—This work proposes a reversible data hiding algorithm that is based on the interleaving max-min difference histogram. The method divides the cover image into non-overlapping identical blocks. In each block, the maximum or minimum pixel is selected to calculate absolute differences between the gray level value of the selected pixel and that of the other pixels. Then, these differences are used to generate a histogram and the histogram shifting method is adopted to embed data. This method, to propose an offset distortion method, exploits the feature that the change of the pixel gray level upon shifting and embedding obtained using the max difference is contrary to that obtained using the min difference. The method of interleaving uses the max difference and the min difference to counteract the change in the gray levels of some pixels. The total of the changed gray level values is thus reduced. Therefore, the PSNR value can be increased and the quality of the stego image improved. Experimental results reveal that the proposed method yields a higher embedding capacity than that of the median difference histogram.
منابع مشابه
A reversible data hiding method by histogram shifting in high quality medical images
Enormous demands for recognizing complicated anatomical structures in medical images have been demanded on high quality of medical image such as each pixel expressed by 16-bit depth. Now, most of data hiding algorithms are still applied in 8-bit depth medical images. We proposed a histogram shifting method for image reversible data hiding testing on high bit depth medical images. Among image lo...
متن کاملImproving histogram-based reversible data hiding by interleaving predictions
Data hiding is an important way of realising copyright protection for multimedia. In this study, a new predictive method is proposed to enhance the histogram-based reversible data hiding approach on grey images. In those developed histogram-based reversible data hiding approaches, their drawbacks are the number of predictive values less to the number of pixels in an image. In these interleaving...
متن کاملReversible Data Hiding Based on Invariant Image Classification and Expansion Embedding in Medical Images
In this paper, an improved reversible data hiding scheme is proposed . In the method proposed by us , it apply expansion embedding , which will adaptively takes care of local specifities of image content. In our method , it classify pixels based on their predicted value and pixels prediction errors. By applying expansion embedding to the pixels prediction errors and by considering their immedia...
متن کاملA Novel Reversible Data Hiding Technique with
In this paper, a new reversible image hiding scheme based on histogram shifting for grayscale images is proposed. As is known, the payload storage of histogram-based reversible data hiding is impacted by the overhead information of the pixel positions that have to be embedded in a cover image. To solve this problem, the cover image is divided into two parts, namely the Most Significant Part (MS...
متن کاملReversible Data Hiding Based on Median Difference Histogram
This work proposes a reversible data hiding algorithm that is based on the median difference histogram. The method divides the cover image into non-overlapping identical blocks. In each block, the median pixel is selected to calculate absolute differences between the median pixel value and the values of the other pixels. Then, these differences are used to generate a histogram and the histogram...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- JSW
دوره 5 شماره
صفحات -
تاریخ انتشار 2010