All frequency band DWT-SVD robust watermarking technique for color images in YUV color space

Due to the advancement in Computer technology and readily available tools, it is very easy for the unknown users to produce illegal copies of multimedia data which are floating across the Internet.In order to protect those multimedia data on the Internet many techniques are available including vario...

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Bibliographic Details
Published in:2011 IEEE International Conference on Computer Science and Automation Engineering Vol. 3; pp. 295 - 299
Main Authors: Kapre Bhagyashri, S., Joshi, M. Y.
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2011
Subjects:
Digital watermarking
Discrete Wavelet transformation technique
SVD-Watermarking
Transform Domain watermarking
ISBN:9781424487271, 1424487277
Online Access:Get full text
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Summary:Due to the advancement in Computer technology and readily available tools, it is very easy for the unknown users to produce illegal copies of multimedia data which are floating across the Internet.In order to protect those multimedia data on the Internet many techniques are available including various encryption techniques, steganography techniques, watermarking techniques and information hiding techniques. Digital watermarking is a technique in which apiece of digital information is embedded into an image and extracted later for ownership verification. Secret digital data can be embedded either in spatial domain or in frequency domain of the cover data. In this paper, a new singular value decomposition (SVD) and discrete wavelet transformation (DWT) based technique is proposed for hiding watermark in full frequency band of color images (DSFW). The quality of the watermarked image and extracted watermark is measured using peak signal to noise ratio (PSNR) and normalized correlation (NC) respectively. It is observed that the quality of the watermarked image is maintained with the value of 36dB. Robustness of proposed algorithm is tested for various attacks including salt and pepper noise and Gaussian noise, cropping and JPEG compression.
ISBN:9781424487271
1424487277
DOI:10.1109/CSAE.2011.5952684