NDLI: Improved watermarking technique based on significant difference of lifting wavelet coefficients

Content Provider	Springer Nature Link
Author	Verma, Vivek Singh Kumar Jha, Rajib
Copyright Year	2014
Abstract	In this paper, a blind watermarking scheme based on significant difference of lifting wavelet transform coefficients has been proposed. The difference between two maximum coefficients in a block is called as significant difference. Embedding of binary watermark has been done based on the largest coefficient of randomly shuffled blocks of CH3 sub-band. This sub-band is quantized using the predefined threshold value by comparing the significant difference value with the average of significant difference value of all blocks. The watermarked image shows no perceptual degradation as the PSNR value exceeds 42 dB. An adaptive-thresholding-based method is used for watermark extraction. In the proposed technique, the benefit of using lifting wavelet over traditional wavelet is the maximum energy compaction property, which helps in resisting different attacks. The simulation results show higher performance of the proposed technique as compared to the similar existing techniques under different geometric and nongeometric attacks such as amplification, median filtering, sharpening, scaling, rotation, Gaussian noise, salt and paper noise, Gaussian filter and JPEG compression.
Starting Page	1443
Ending Page	1450
Page Count	8
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	9
Issue Number	6
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2014-01-11
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Blind watermarking Lifting wavelet transform Significant difference Normalized correlation coefficient (NCC) Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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