Distortion Estimation in Digital Image Watermarking using Genetic Programming
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gp-bibliography.bib Revision:1.8051
- @Article{Gilani:2006:IJASET,
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author = "Labiba Gilani and Asifullah Khan and Anwar M. Mirza",
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title = "Distortion Estimation in Digital Image Watermarking
using Genetic Programming",
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journal = "International Journal of Applied Science, Engineering
and Technology",
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year = "2006",
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volume = "15",
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number = "20",
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pages = "103--108",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.waset.org/ijaset/v15/v15-20.pdf",
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size = "6 pages",
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abstract = "This paper introduces a technique of distortion
estimation in image watermarking using Genetic
Programming (GP). The distortion is estimated by
considering the problem of obtaining a distorted
watermarked signal from the original watermarked signal
as a function regression problem. This function
regression problem is solved using GP, where the
original watermarked signal is considered as an
independent variable. GP-based distortion estimation
scheme is checked for Gaussian attack and Jpeg
compression attack. We have used Gaussian attacks of
different strengths by changing the standard deviation.
JPEG compression attack is also varied by adding
various distortions. Experimental results demonstrate
that the proposed technique is able to detect the
watermark even in the case of strong distortions and is
more robust against attacks.",
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notes = "Broken Nov 2020 http://www.waset.org/ijaset/
Lena",
- }
Genetic Programming entries for
Labiba Gilani
Asifullah Khan
Anwar M Mirza
Citations