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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Afsharizadeh, M. Mohammadi, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Comput. Eng., Shahid Bahonar Univ., Kerman, Iran (Afsharizadeh, M.; Mohammadi, M.) |
| Abstract | The prediction error expansion technique is one of the reversible watermarking techniques. The sorting technique exploits the correlation between neighboring pixels for optimizing embedding order hence sorting is a fundamental step to enhance the embedding capacity and visual quality. In this paper a new sorting technique is designed to improve the hiding capacity and visual quality. Using of prediction expansion, histogram shifting and our new sorting technique produces superior results than several methods. We use a new measure for sorting the cells and we show that using only local variance values for sorting is ineffective in some cases. By using the new measure we can solve this problem and lead to more efficient sorting procedure. Experimental results show the efficiency of our proposed sorting procedure. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 301411 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479916382 |
| DOI | 10.1109/ISCISC.2013.6767347 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-29 |
| Publisher Place | Iran |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Prediction error expansion Histograms PSNR Correlation Histogram shifting Reversible watermarking Watermarking Prediction algorithms Sorting Payloads |
| Content Type | Text |
| Resource Type | Article |
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