DocumentCode :
2889384
Title :
Spread spectrum based spatial watermarking using partial embedding and reduced dynamic range detection
Author :
Amornraksa, Thumrongrat
Volume :
1
fYear :
2004
fDate :
26-29 Oct. 2004
Firstpage :
324
Abstract :
In this paper, a spread spectrum based watermarking using partial embedding and reduced dynamic range detection is proposed for uncompressed video in spatial domain. Conceptually, by properly reducing the variance of host media, lower bit error rate and smaller chip-rate can be obtained. A technique of variance reduction is therefore applied by decreasing a dynamic range of the host signal. Moreover, when using the proposed technique in which some pixels having particular values are considered and modified, higher quality of the watermarked media in term of PSNR is obtained. The results show that without knowledge of original media, the embedded watermark can be recovered with a smaller chip-rate, compared to the traditional spread spectrum based methods. The improved performance can still be achieved even if various strengths of attack, i.e. addition of Gaussian distributed noise, are applied.
Keywords :
Gaussian noise; data compression; data encapsulation; security of data; spread spectrum communication; video coding; watermarking; Gaussian distributed noise addition attack; PSNR; bit error rate; chip-rate; embedded watermark recovery chip-rate; host media variance; host signal dynamic range; partial embedding; reduced dynamic range detection; spatial domain; spread spectrum based spatial watermarking; uncompressed video; variance reduction technique; watermarked media quality; Dynamic range; Embedded computing; Error analysis; Filtering; Frequency domain analysis; Humans; PSNR; Robustness; Spread spectrum communication; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8593-4
Type :
conf
DOI :
10.1109/ISCIT.2004.1412862
Filename :
1412862
Link To Document :
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