DocumentCode :
2690106
Title :
Notice of Retraction
Semi-fragile Image Watermarking Algorithm Based on Double-Step
Author :
Shengbing Che ; Bin Ma ; Qiangbo Huang ; Xiangdong Wu
Author_Institution :
Coll. of Comput. Sci., Central South Univ. of Forestry & Technol., Changsha, China
fYear :
2009
fDate :
16-17 May 2009
Firstpage :
3
Lastpage :
10
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

In order to improve the invisibility and the robustness of semi-fragile watermarking, the paper first brings up the idea which embedding watermark based on the attackspsila characteristic, brings forward the region segmentation operator and the double-step embedding method. The paper puts forward the characteristic and its representation in DWT transform domain based on visual features model, and brings forward the quantized central limit theorem which applies to adjusting the coefficients in general transform domain. These all make semi-fragile water marking embedded through dynamic quantization and achieve the greatest robustness. It gives wavelet transform domain coefficient redressal operator and the best restore probability of the pixel value adjustment in experiments when the images were under attack. It leads up to a better invisibility of carrier image, a better robustness to the image processing, such as JPEG compression, noise adding, filtering, and the larger amount of embedded information. Whatpsilas more, it can ascertain the position of vicious attack exactly.
Keywords :
data compression; discrete wavelet transforms; image coding; image resolution; image segmentation; watermarking; DWT transform; JPEG compression; double-step embedding method; dynamic quantization; filtering; image processing; pixel value; quantized central limit theorem; region segmentation operator; semifragile image watermarking algorithm; Discrete wavelet transforms; Image processing; Image restoration; Image segmentation; Noise robustness; Pixel; Quantization; Watermarking; Wavelet domain; Wavelet transforms; coefficient redressal; double-step; human visual features model; quantized central limit theorem; restore probability; semi-fragile watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-0-7695-3686-6
Type :
conf
DOI :
10.1109/IEEC.2009.8
Filename :
5175064
Link To Document :
بازگشت