DocumentCode :
627175
Title :
An improved blind watermarking method in frequency domain for image authentication
Author :
Sarker, Md Iqbal H. ; Khan, Muhammad Imran
Author_Institution :
Dept. of Comput. Sci. & Eng., Chittagong Univ. of Eng. & Technol., Chittagong, Bangladesh
fYear :
2013
fDate :
17-18 May 2013
Firstpage :
1
Lastpage :
5
Abstract :
Digital watermarking has been widely used for copyright protection for multimedia data. This paper proposes a new watermarking method of image for copyright protection based on Hadamard transform. This method can embed or hide an entire image or pattern as a watermark such as a company´s logo or trademark directly into original image for copyright protection. This watermarking method deals with the extraction of the watermark information in the absence of original image, hence the blind scheme is obtained. The experimental results prove that our proposed watermarking method offers better image quality and more robustness under various attacks such as JPEG compression, cropping, sharpening, filtering and so on. Peak Signal to Noise Ratio (PSNR) and Normalized Correlation Coefficient (NCC) are computed to measure image quality and robustness. Finally, a comparative study is made against the previous technique.
Keywords :
Hadamard transforms; copyright; correlation methods; data compression; filtering theory; frequency-domain analysis; image coding; image retrieval; image watermarking; multimedia computing; Hadamard transform; JPEG compression; NCC; PSNR; company logo; company trademark; copyright protection; cropping; digital watermarking; filtering; frequency domain; image authentication; image quality measurement; image robustness measurement; improved blind watermarking method; multimedia data; normalized correlation coefficient; peak signal-to-noise ratio; sharpening; watermark information extraction; Digital images; Image coding; PSNR; Robustness; Transform coding; Transforms; Watermarking; Arnold Transform; Best first search algorithm; Digital image watermarking; Hadamard transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-0397-9
Type :
conf
DOI :
10.1109/ICIEV.2013.6572526
Filename :
6572526
Link To Document :
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