DocumentCode :
2563448
Title :
An improved quantization based watermarking scheme using local entropy in wavelet domain
Author :
Boroumand, Mehdi ; Ebrahimi, Afshin
Author_Institution :
Fac. of Electr. Eng., Sahand Univ. of Technol., Tabriz, Iran
fYear :
2009
fDate :
18-19 Nov. 2009
Firstpage :
268
Lastpage :
272
Abstract :
This paper presents a method for robust watermarking of digital images in wavelet domain. A new HVS model which uses local entropy in addition to conventional masking characteristics of the human visual system such as frequency, luminance and contrast masking has been utilized to increase the robustness of the scheme. Experimental results demonstrate the superiority of the proposed method over the similar method in terms of robustness and transparency.
Keywords :
entropy; watermarking; digital images; human visual system; local entropy; quantization based watermarking; wavelet domain; Digital images; Entropy; Frequency; Humans; Quantization; Robustness; Signal processing algorithms; Visual system; Watermarking; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
Type :
conf
DOI :
10.1109/ICSIPA.2009.5478604
Filename :
5478604
Link To Document :
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