Literature DB >> 20716503

Reference sharing mechanism for watermark self-embedding.

Xinpeng Zhang1, Shuozhong Wang, Zhenxing Qian, Guorui Feng.   

Abstract

This paper proposes two novel self-embedding watermarking schemes based upon a reference sharing mechanism, in which the watermark to be embedded is a reference derived from the original principal content in different regions and shared by these regions for content restoration. After identifying tampered blocks, both the reference data and the original content in the reserved area are used to recover the principal content in the tampered area. By using the first scheme, the original data in five most significant bit layers of a cover image can be recovered and the original watermarked image can also be retrieved when the content replacement is not too extensive. In the second scheme, the host content is decomposed into three levels, and the reference sharing methods with different restoration capabilities are employed to protect the data at different levels. Therefore, the lower the tampering rate, the more levels of content data are recovered, and the better the quality of restored results.

Year:  2010        PMID: 20716503     DOI: 10.1109/TIP.2010.2066981

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  3 in total

1.  Self-recovery reversible image watermarking algorithm.

Authors:  Zhengwei Zhang; He Sun; Shangbing Gao; Shenghua Jin
Journal:  PLoS One       Date:  2018-06-19       Impact factor: 3.240

2.  Self-recovery scheme for audio restoration using auditory masking.

Authors:  Alejandra Menendez-Ortiz; Claudia Feregrino-Uribe; Jose Juan Garcia-Hernandez
Journal:  PLoS One       Date:  2018-09-28       Impact factor: 3.240

3.  Watermarking Based on Compressive Sensing for Digital Speech Detection and Recovery .

Authors:  Wenhuan Lu; Zonglei Chen; Ling Li; Xiaochun Cao; Jianguo Wei; Naixue Xiong; Jian Li; Jianwu Dang
Journal:  Sensors (Basel)       Date:  2018-07-23       Impact factor: 3.576

  3 in total

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