DocumentCode :
1961435
Title :
An Adaptive Watermarking Algorithm in DWT Domain Based on Multi-scale Morphological Gradient
Author :
Yanbin, Fan ; Wenyong, Chen ; Zhenkuan, Pan
Author_Institution :
Coll. of Inf. Eng., Qingdao Univ., Qingdao
Volume :
3
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
738
Lastpage :
741
Abstract :
An adaptive watermarking algorithm in the wavelet domain based on multi-scale morphological gradient is proposed in this paper. Using multi-scale morphological gradient, the distribution and the strength of the sub-block texture after the wavelet package decomposition are analyzed, and the textures of sub-blocks are sorted. According to the texture feature of the sub-block, the sub-block threshold is determined adaptively and the position which is bigger than its threshold is selected as the important coefficient position where the watermarking is embedded. Then, the strength of the position is modulated adaptively through noise visibility function (NVF), which is the best strength to ensure good visual effect of masking to achieve the best effect between robustness and imperceptibility. A large amount of experiments show that the proposed algorithm is effective and robust to common image processing operations.
Keywords :
discrete wavelet transforms; gradient methods; image coding; image segmentation; image texture; mathematical morphology; watermarking; DWT domain; adaptive watermarking algorithm; discrete wavelet transform; image masking; image processing; multiscale morphological gradient; noise visibility function; subblock texture; subblock threshold; wavelet package decomposition; Computer science; Discrete wavelet transforms; Filtering; Humans; Image edge detection; Noise robustness; Protection; Software algorithms; Watermarking; Wavelet packets; adaptive; digital watermarking; multi-scale morphological gradient; texture feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1509
Filename :
4722448
Link To Document :
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