High Payload Watermarking using Residue Number System
Author(s) -
Shubhendu Banerjee,
Sayan Chakraborty,
Nilanjan Dey,
Arijit Kumar Pal,
Ruben Ray
Publication year - 2015
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2015.03.01
Subject(s) - digital watermarking , watermark , payload (computing) , residue number system , chinese remainder theorem , computer science , robustness (evolution) , steganography , artificial intelligence , peak signal to noise ratio , pixel , computer vision , modular design , information hiding , image (mathematics) , algorithm , computer security , biochemistry , chemistry , network packet , gene , operating system
Information hiding or data hiding, also known as watermarking, has become a part and parcel of covert communication and copyright protection. Maximizing watermark payload is a major challenge for watermark researchers. To overcome this issue, we have proposed a new color image watermarking technique, using residue number system (RNS). RNS refers to a large integer using a set of smaller integers which relies on the Chinese remainder theorem of modular arithmetic for its operation. The proposed method takes pixel values from three watermark images and embeds them into the main cover image. Experimental results presented in this paper shows that the watermark can be successfully embedded and extracted from an image, without distorting the original image using the proposed technique. The high peak signal to noise ratio (PSNR) and payload values claims the robustness of the proposed method.
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